Publications

A Large-Scale Exploration of µ-Transfer

Lingle

Language Models on a Diet: Cost-Efficient Development of Encoders for Closely-Related Languages via Additional Pretraining

Ljubešić et al.

gRNAde: Geometric Deep Learning for 3D RNA inverse design

Joshi et al.

Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Nam, Heo & Lee

DeepFake Video Detection using Vision Transformer

Hussien & Mohamed

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Lee et al.

BC-Predict: Mining of signal biomarkers and multilevel validation of cascade classifier for early-stage breast cancer subtyping and prognosis

Muthamilselvan & Palaniappan

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Khazatsky et al.

Deep Manifold Learning for Reading Comprehension and Logical Reasoning Tasks with Polytuplet Loss

Lu & Rodriguez

MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections

Hui et al.

MYTE: Morphology-Driven Byte Encoding for Better and Fairer Multilingual Language Modeling

Limisiewicz et al.

Do Language Models Care About Text Quality? Evaluating Web-Crawled Corpora Across 11 Languages

van Noord et al.

IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Khan et al.

Advancements in Hand-Drawn Chemical Structure Recognition through an Enhanced DECIMER Architecture

Rajan et al.

Can a Confident Prior Replace a Cold Posterior?

Marek, Paige & Izmailov

Localization vs. Semantics: Visual Representations in Unimodal and Multimodal Models

Li et al.

Set the Clock: Temporal Alignment of Pretrained Language Models

Zhao et al.

What Evidence Do Language Models Find Convincing?

Wan, Wallace & Klein

EVEDIT: Event-based Knowledge Editing with Deductive Editing Boundaries

Liu et al.

World Model on Million-Length Video And Language With RingAttention

Liu et al.

SMX: Sequential Monte Carlo Planning for Expert Iteration

Macfarlane et al.

Cacophony: An Improved Contrastive Audio-Text Model

Zhu & Duan

Should I try multiple optimizers when fine-tuning pre-trained Transformers for NLP tasks? Should I tune their hyperparameters?

Gkouti et al.

Universal Neural Functionals

Zhou, Finn & Harrison

Curvature-Informed SGD via General Purpose Lie-Group Preconditioners

Pooladzandi & Li

The Developmental Landscape of In-Context Learning

Hoogland et al.

Whispering in Norwegian: Navigating Orthographic and Dialectic Challenges

Kummervold et al.

DeepPrism: Channel Convolution for Lightweight Generative Models

Fu & Cohen

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks

Yildirim

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation

Uludoğan et al.

Industry-sensitive language modeling for business

Borchert et al.

Synthesizing Moving People with 3D Control

Li et al.

Attentive Fusion: A Transformer-based Approach to Multimodal Hate Speech Detection

Mandal et al.

Conic Linear Units: Improved Model Fusion and Rotational-Symmetric Generative Model

Fu & Cohen

FMB: a Functional Manipulation Benchmark for Generalizable Robotic Learning

Luo et al.

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Ma et al.

Revisiting Adversarial Training at Scale

Wang et al.

Image Sculpting: Precise Object Editing with 3D Geometry Control

Yenphraphai et al.

Cheetah: Natural Language Generation for 517 African Languages

Adebara, Elmadany & Abdul-Mageed

CogMemLM: Human-Like Memory Mechanisms Improve Performance and Cognitive Plausibility of LLMs

Thoma et al.

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Lu et al.

BantuLM: Enhancing Cross-Lingual Learning in the Bantu Language Family

Mohamed et al.

Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking with Seq2seq Encoder-Decoder Models

Tamber, Pradeep & Lin

Discovering modular solutions that generalize compositionally

Schug et al.

Diffusion Models With Learned Adaptive Noise

Sahoo et al.

NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation

Thakur et al.

OCaTS: an Online Cost-aware Teacher-Student Framework to Reduce the Calls to Large Language Models

Stogiannidis

Compress & Align: Curating Image-Text Data with Human Knowledge

Zhang et al.

Better Quality Pre-training Data and T5 Models for African Languages

Oladipo et al.

Multilingual Lottery Tickets to Pretrain Language Models

Lee & Hwang

JASMINE: Arabic GPT Models for Few-Shot Learning

Nagoudi et al.

Dolphin: A Challenging and Diverse Benchmark for Arabic NLG

Nagoudi et al.

An LLM Compiler for Parallel Function Calling

Kim et al.

QTSumm: Query-Focused Summarization over Tabular Data

Zhao et al.

Rejuvenating image-GPT as Strong Visual Representation Learners

Ren et al.

Sequential Modeling Enables Scalable Learning for Large Vision Models

Bai et al.

Offline RL for generative design of protein binders

Tarasov et al.

Neural Rendering in the Cloud with Tensor Processing Unit

Soto-Chirinos, Condori-Alejo & Alzamora

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Ivison et al.

Striped Attention: Faster Ring Attention for Causal Transformers

Brandon et al.

Improving Korean NLP Tasks with Linguistically Informed Subword Tokenization and Sub-character Decomposition

Jeon et al.

MixCon3D: Synergizing Multi-View and Cross-Modal Contrastive Learning for Enhancing 3D Representation

Gao

Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling

Gandhi, von Platen & Rush

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

Meulemans et al.

To repeat or not to repeat: Insights from scaling llm under token-crisis

Xue et al.

IACS-LRILT: Machine Translation for Low-Resource Indic Languages

Suman et al.

A Holistic Approach to Unifying Automatic Concept Extraction and Concept Importance Estimation

Fel et al.

Beyond Invariance: Test-Time Label-Shift Adaptation for Addressing "Spurious" Correlations

Sun et al.

Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization

Grinsztajn et al.

Speculative Decoding with Big Little Decoder

Kim et al.

Blockwise Parallel Transformers for Large Context Models

Liu & Abbeel

Combinatorial Optimization with Policy Adaptation using Latent Space Search

Chalumeau et al.

Recurrent Linear Transformers

Pramanik

Octopus: A Multitask Model and Toolkit for Arabic Natural Language Generation

Elmadany, Nagoudi & Abdul-Mageed

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models

Stogiannidis et al.

Kunstig intelligens og Nasjonalbiblioteket

Brygfjeld

GUANinE v1. 0: Benchmark Datasets for Genomic AI Sequence-to-Function Models

robson & Ioannidis

NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration

Sridhar et al.

TabLib: A Dataset of 627M Tables with Context

Eggert et al.

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

Chen et al.

Lemur: Harmonizing Natural Language and Code for Language Agents

Xu et al.

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

Xu et al.

Ring Attention with Blockwise Transformers for Near-Infinite Context

Liu, Zaharia & Abbeel

A Foundational Large Language Model for Edible Plant Genomes

Mendoza-Revilla et al.

A Manual Evaluation Method of Neural MT for Indigenous Languages

Wiechetek, Pirinen & Kummervold

FinAraT5: A text to text model for financial Arabic text understanding and generation

Zmandar, El-Haj & Rayson

An ML approach to resolution of singularities

Bérczi, Fan & Zeng

Transformer-VQ: Linear-Time Transformers via Vector Quantization

Lingle

Extracting the gamma-ray source-count distribution below the Fermi-LAT detection limit with deep learning

Amerio, Cuoco & Fornengo

MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages

Zhang et al.

Cabrita: closing the gap for foreign languages

Larcher et al.

A Recycling Training Strategy for Medical Image Segmentation with Diffusion Denoising Models

Fu et al.

A Manual Evaluation Method of Neural MT for Indigenous Languages

Wiechetek, Pirinen & Kummervold

BridgeData V2: A Dataset for Robot Learning at Scale

Walke et al.

SE (3) Equivariant Augmented Coupling Flows

Midgley et al.

Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation

Chalcroft et al.

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Chalumeau et al.

Using machine learning for automated de-identification and clinical coding of free text data in electronic medical records

Liu

Harmonizing the visual strategies of image-computable models with humans yields more performant and interpretable models of primate visual system function.

Rodriguez et al.

Light and fast language models for spanish through compression technique

Cañete López

Deciphering “the language of nature”: A transformer-based language model for deleterious mutations in proteins

Jiang, Fang & Wang

Learning to Model the World with Language

Lin et al.

Developing and Evaluating Tiny to Medium-Sized Turkish BERT Models

Kesgin, Yüce & Amasyali

Synthetic Faces For Robots

Bosschart

PASTA: Pretrained Action-State Transformer Agents

Boige et al.

Gradient strikes back: How filtering out high frequencies improves explanations

Muzellec et al.

HINT: Hypernetwork Instruction Tuning for Efficient Zero-and Few-Shot Generalisation

Ivison et al.

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Doddapaneni et al.

Focused Transformer: Contrastive Training for Context Scaling

Tworkowski et al.

Reinforcement Learning from Passive Data via Latent Intentions

Ghosh, Bhateja & Levine

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners

Yadav et al.

SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate via Compiler Co-design

Guo

Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis

Meulemans et al.

CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a\$10,000 Budget; An Extra\$4,000 Unlocks 81.8% Accuracy

Li, Wang & Xie

SparseOptimizer: Sparsify Language Models through Moreau-Yosida Regularization and Accelerate through Compiler Co-design

Guo

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification

Csillag et al.

Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression

Raventós et al.

Script, Language, and Labels: Overcoming Three Discrepancies for Low-Resource Language Specialization

Lee, Lee & Hwang

ViNT: A Foundation Model for Visual Navigation

Shah et al.

Long-range Language Modeling with Self-retrieval

Rubin & Berant

Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent

Lin et al.

Understanding and Mitigating Hardware Failures in Deep Learning Training Systems

He et al.

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

Bonnet et al.

Resolution based Incremental Scaling Methodology for CNNs

Lim, Lee & Ha

Anticipatory Music Transformer

Thickstun et al.

HunEmBERT: a fine-tuned BERT-model for classifying sentiment and emotion in political communication

Üveges & Ring

SqueezeLLM: Dense-and-Sparse Quantization

Kim et al.

RoBERTweet: A BERT Language Model for Romanian Tweets

Tăiatu et al.

Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces

Boige et al.

Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex

Linsley et al.

Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception

Linsley et al.

LexGPT 0.1: pre-trained GPT-J models with Pile of Law

Lee

Unifying (Machine) Vision via Counterfactual World Modeling

Bear et al.

Extracting Reward Functions from Diffusion Models

Nuti, Franzmeyer & Henriques

Masked Autoencoders with Multi-Window Attention Are Better Audio Learners

Yadav et al.

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Subramanian et al.

Full Stack Optimization of Transformer Inference

Kim et al.

Temporally Consistent Transformers for Video Generation

Yan et al.

Hardware Software Co-design and Architectural Optimization of Deep Learning Models for Natural Language Processing

Wattanawong & Keutzer

Blockwise Parallel Transformer for Long Context Large Models

Liu & Abbeel

Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation

Minixhofer, Pfeiffer & Vulic

Self Information Update for Large Language Models through Mitigating Exposure Bias

Yu & Ji

Emergent Agentic Transformer from Chain of Hindsight Experience

Liu & Abbeel

The False Promise of Imitating Proprietary LLMs

Gudibande et al.

Beyond Model Efficiency: Data Optimizations for Machine Learning Systems

Kuchnik

GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP

Khondaker et al.

BERT を用いた日本語の意味変化の分析

小林千真

Dolphin: A Challenging and Diverse Benchmark for Arabic NLG

Nagoudi et al.

Difference-Masking: Choosing What to Mask in Continued Pretraining

Wilf et al.

Video Prediction Models as Rewards for Reinforcement Learning

Escontrela et al.

Exploring Large Language Models for Classical Philology

Riemenschneider & Frank

CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models

Minixhofer, Pfeiffer & Vulic

Training Diffusion Models with Reinforcement Learning

Black et al.

An Inverse Scaling Law for CLIP Training

Li, Wang & Xie

Varta: A Large-Scale Headline-Generation Dataset for Indic Languages

Aralikatte et al.

Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data Scenarios

Türkmen et al.

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

Kirstain et al.

Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation

Phan et al.

Poisoning Language Models During Instruction Tuning

Wan et al.

Tevatron: An efficient and flexible toolkit for neural retrieval

Gao et al.

Evaluation and optimization of sequence-based gene regulatory deep learning models

Rafi et al.

Improving Conversational Passage Re-ranking with View Ensemble

Ju et al.

PP-NAS: Searching for Plug-and-Play Blocks on Convolutional Neural Networks

Xiao et al.

Factorized visual representations in the primate visual system and deep neural networks

Lindsey & Issa

Differentiable RandAugment: Learning Selecting Weights and Magnitude Distributions of Image Transformations

Xiao et al.

Effect of Tokenization Granularity for Turkish Large Language Models

Kaya & Tantu

Offensive Language Detection in Social Media Using Transformers and Importance of Pre-training

Saraclar et al.

Astroformer: More Data Might Not be All You Need for Classification

Dagli

A Recipe for Training Large Models

Dayma

Automated Diagnosis Code Assignment of Thai Free-text Clinical Notes

Suvirat et al.

Polytuplet Loss: A Reverse Approach to Training Reading Comprehension and Logical Reasoning Models

Lu & Rodriguez

Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning

Formanek et al.

InceptionNeXt: When Inception Meets ConvNeXt

Yu et al.

The quality-diversity transformer: Generating behavior-conditioned trajectories with decision transformers

Macé et al.

Understanding Masked Autoencoders via Hierarchical Latent Variable Models

Kong et al.

C2LIR: Continual Cross-Lingual Transfer for Low-Resource Information Retrieval

Lee et al.

Pre-processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering

Tamber, Pradeep & Lin

PyGaggle: A Gaggle of Resources for Open-Domain Question Answering

Pradeep et al.

Importance of Aligning Training Strategy with Evaluation for Diffusion Models in 3D Multiclass Segmentation

Fu et al.

Towards Learning Emotion Information From Short Segments Of Speech

Purohit et al.

Magnushammer: A Transformer-based Approach to Premise Selection

Mikula et al.

Big Little Transformer Decoder

Kim et al.

Traversing Between Modes in Function Space for Fast Ensembling

Yun et al.

Decoupled Training for Long-Tailed Classification With Stochastic Representations

Nam, Jang & Lee

Connecting representation and generation via masked vision-language transformer

Geng et al.

Martingale Posterior Neural Processes

Lee et al.

Language-Driven Representation Learning for Robotics

Karamcheti et al.

DECIMER.ai - An open platform for automated optical chemical structure identification, segmentation and recognition in scientific publications

Rajan et al.

Toward denoising of 3D CT scans with few data

Liang et al.

DarijaBERT: A Step Forward in NLP for the Written Moroccan Dialect

Gaanoun et al.

AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning

Bernardini et al.

Languages are Rewards: Hindsight Finetuning using Human Feedback

Liu, Sferrazza & Abbeel

Bioformer: an efficient transformer language model for biomedical text mining

Fang et al.

Model-based Policy Optimization under Approximate Bayesian Inference

Wang, Chen & Murphy

プロットで拡張した小説生成システムによる短編製作支援

後藤諒也 & 伊藤克亘

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

Elnaggar et al.

Does progress on ImageNet transfer to real world datasets?

Fang, Kornblith & Schmidt

Benchmarking Robustness in Neural Radiance Fields

Wang et al.

SkinFormer: Robust Vision Transformer for Automatic Skin Disease Identification

Osman et al.

Generative Approach for Gender Rewriting Task with ArabicT5

Alrowili & Vijay-Shanker

Generating Classical Arabic Poetry using Pre-trained Models

ElOraby et al.

Cervical Cancer Screening on Multi-class Imbalanced Cervigram Dataset using Transfer Learning

Saini & Susan

Deep Learning Methodology for Early Detection and Outbreak Prediction of Invasive Species Growth

Elias

HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation

Ivison et al.

Localization vs. Semantics: How Can Language Benefit Visual Representation Learning?

Li et al.

RoSummary: Control Tokens for Romanian News Summarization

Niculescu, Ruseti & Dascalu

Exploring Learning Rate Scaling Rules for Distributed ML Training on Transient Resources

André, Strati & Klimovic

ManyFold: an efficient and flexible library for training and validating protein folding models

Villegas-Morcillo et al.

Non-generalizability of biomarkers for mortality in SARS-CoV-2: a meta-analyses series

Shuvo et al.

CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Ding et al.

The Effect of Data Dimensionality on Neural Network Prunability

Ankner et al.

Sistema prototipo de renderización neural en la nube con TPU para determinar la capacidad de producción de tres arquitecturas

Soto Chirinos

Semi-supervised Automated Clinical Coding Using International Classification of Diseases

Hlynsson et al.

Receptive Field Refinement for Convolutional Neural Networks Reliably Improves Predictive Performance

Richter & Pal

NepBERTa: Nepali Language Model Trained in a Large Corpus

Gautam, Timilsina & Bhattarai

Debiasing Meta-Gradient Reinforcement Learning by Learning the Outer Value Function

Bonnet, Midgley & Laterre

MFinBERT: Multilingual Pretrained Language Model For Financial Domain

Nguyen et al.

Learning to Generate Data by Estimating Gradients of the Data Distribution

Song

Investigating Multilingual Approaches for Parsing Universal Dependencies

Barry

Posterior Matching for Arbitrary Conditioning

Strauss & Oliva

LERT: A Linguistically-motivated Pre-trained Language Model

Cui et al.

Harmonizing the object recognition strategies of deep neural networks with humans

Fel et al.

Individualized and Global Feature Attributions for Gradient Boosted Trees in the Presence of L2 Regularization

Sun

Generative adversarial networks and diffusion models in material discovery

Alverson et al.

Random Sharpness-Aware Minimization

Liu et al.

Offline RL With Realistic Datasets: Heteroskedasticity and Support Constraints

Singh et al.

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

Hill et al.

Pruning's Effect on Generalization Through the Lens of Training and Regularization

Jin et al.

ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition

Gandhi, von Platen & Rush

Legal-Tech Open Diaries: Lesson learned on how to develop and deploy light-weight models in the era of humongous Language Models

Maroudas et al.

Instruction-Following Agents with Jointly Pre-Trained Vision-Language Models

Liu et al.

MetaFormer Baselines for Vision

Yu et al.

Do Language Models Understand Measurements?

Park, Ryu & Choi

Bioberturk: Exploring Turkish Biomedical Language Model Development Strategies in Low Resource Setting

Türkmen et al.

A Comprehensive Analysis of Subword Tokenizers for Morphologically Rich Languages

Erkaya

Optimizing Hierarchical Image VAEs for Sample Quality

Luhman & Luhman

MTet: Multi-domain Translation for English and Vietnamese

Ngo et al.

Integrative dissection of gene regulatory elements at base resolution

Chen et al.

EleutherAI: Going Beyond “Open Science” to “Science in the Open”

Phang et al.

IndoLib: A Natural Language Processing Toolkit for Low-Resource South Asian Languages

Timalsina

Pre-Training for Robots: Offline RL Enables Learning New Tasks from a Handful of Trials

Kumar et al.

ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning

Nguyen, Zheng & Grover

An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification

Chalkidis et al.

Population-Based Reinforcement Learning for Combinatorial Optimization

Grinsztajn, Furelos-Blanco & Barrett

Temporally Consistent Video Transformer for Long-Term Video Prediction

Yan et al.

The Effectiveness of Bidirectional Generative Patent Language Models

Lee

Hide and Seek in a Gridworld

Chen

More with Less: ZeroQA and Relevant Subset Selection for AI2 Reasoning Challenge

Patrascu et al.

Understanding Pure CLIP Guidance for Voxel Grid NeRF Models

Lee & Chang

Learning by Distilling Context

Snell, Klein & Zhong

GazeRadar: A Gaze and Radiomics-Guided Disease Localization Framework

Bhattacharya, Jain & Prasanna

A Light Recipe to Train Robust Vision Transformers

Debenedetti, Sehwag & Mittal

Developing Pretrained Language Models for Turkish Biomedical Domain

Türkmen et al.

Arabic machine reading comprehension on the Holy Qur'an using CL-AraBERT

Malhas & Elsayed

Diabetic Retinopathy Screening using Deep Learning for Multi-class Imbalanced Datasets

Saini & Susan

Text-to-Text Multi-view Learning for Passage Re-ranking

Ju, Yang & Wang

Project Nabla

Chen

Conviformers: Convolutionally guided Vision Transformer

Vaishnav et al.

ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers

Li, Zhang & Xie

Masked Autoencoders Enable Efficient Knowledge Distillers

Bai et al.

NUS-IDS at CheckThat!2022: Identifying Check-worthiness of Tweets using CheckthaT5

Du, Gollapalli & Ng

Exploring Biomedical Question Answering with BioM-Transformers At BioASQ10B challenge: Findings and Techniques

Alrowili & Vijay-Shanker

Presentation on AR & VR work for the CIEHF

Pelham

TPU Research Cloud体験記 with JAX/Flax

Onishi

Fine-tuning DALL·E Mini (Craiyon) to Generate Blogpost Images

Turc

Is Attention always needed? A Case Study on Language Identification from Speech

Mandal et al.

On Automatic Summarization of Dutch Legal Cases

Prijs

AfriTeVa: Extending “Small Data” Pretraining Approaches to Sequence-to-Sequence Models

Ogundepo et al.

Lightweight Transformers for Conversational AI

Pressel et al.

SSBNet: Improving Visual Recognition Efficiency by Adaptive Sampling

Kwan & Song

Detecting and mitigating issues in image-based COVID-19 diagnosis

Silva, Rezende & Ponti

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition

Nayebi et al.

BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla

Bhattacharjee et al.

Yes, No or IDK: The Challenge of Unanswerable Yes/No Questions

Sulem, Hay & Roth

Language Modelling with Pixels

Rust et al.

Use of Deep Learning to Detect the Maternal Heart Rate and False Signals on Fetal Heart Rate Recordings

Boudet et al.

BasqueGLUE: A Natural Language Understanding Benchmark for Basque

Urbizu et al.

Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation

Nam et al.

Evaluating Generative Patent Language Models

Lee

Thermalization and localization in isolated many-body quantum systems

Morningstar

Unified-IO

Lu et al.

Pre-training and Evaluating Transformer-based Language Models for Icelandic

Daðason & Loftsson

A Dense Representation Framework for Lexical and Semantic Matching

Lin & Lin

Insights into Pre-training via Simpler Synthetic Tasks

Wu, Li & Liang

Cachew: Machine Learning Input Data Processing as a Service

Graur et al.

Visualizing attention zones in machine reading comprehension models

Cui, Zhang & Liu

Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks

Schaefer et al.

Xplique: A Deep Learning Explainability Toolbox

Fel et al.

Can CNNs Be More Robust Than Transformers?

Wang et al.

Channelized Axial Attention - Considering Channel Relation within Spatial Attention for Semantic Segmentation

Huang et al.

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

Kim et al.

Divide to adapt: Mitigating confirmation bias for domain adaptation of black-box predictors

Yang et al.

FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders

Wang et al.

Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction

Kolluru et al.

Describing Differences between Text Distributions with Natural Language

Zhong et al.

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

Notin et al.

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling

Hill et al.

hmBERT: Historical Multilingual Language Models for Named Entity Recognition

Schweter et al.

Multimodal Masked Autoencoders Learn Transferable Representations

Geng et al.

Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer

Guo & Fan

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Gao & Callan

Inception Transformer

Si et al.

BanglaNLG and BanglaT5: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla

Bhattacharjee et al.

Semi-self-supervised Automated ICD Coding

Hlynsson et al.

xcit

Dagli

Generating Disentangled Arguments With Prompts: A Simple Event Extraction Framework That Works

Si et al.

Multilingual multi-aspect explainability analyses on machine reading comprehension models

Cui et al.

ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language

Phan et al.

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

Liu et al.

Long Document Re-ranking with Modular Re-ranker

Gao & Callan

Odor Descriptor Understanding through Prompting

Sisson

On the Design of 2D Human Pose Estimation Networks using Accelerated Neuroevolution and Novel Keypoint Representations

McNally

Reliable label correction is a good booster when learning with extremely noisy labels

Wang et al.

Adversarially robust vision transformers

Debenedetti

Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

Liu et al.

Cross-stitched Multi-modal Encoders

Singla et al.

Multi-label topic classification for COVID-19 literature with Bioformer

Fang & Wang

Density Matrix Renormalization Group with Tensor Processing Units

Ganahl et al.

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Wang et al.

Scalable Semi-Modular Inference with Variational Meta-Posteriors

Carmona & Nicholls

Learning Generative Models with Energy-Based Models and Transformer GANs

Lee

Pytorch Hyperparameter Optimization on TPUs

Suess

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PARADE: Passage Representation Aggregation for Document Reranking

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