Paper Notes

Topic All
Venue All
Year All years

2019

NeurIPS-2019 GPipe:Efficient Training of Giant Neural Networks using Pipeline Parallelism

ICCV-2019 SlowFast Networks for Video Recognition

IJCAI-2019 Commit Message Generation for Source Code Changes

ACL-2019 Improving Robustness of Neural Machine Translation with Multi-task Learning

arXiv-2019 RoBERTa:A Robustly Optimized BERT Pretraining Approach

KDD-2019 MeLU:Meta-Learned User Preference Estimator for Cold-Start Recommendation

OpenAI-2019 Language Models are Unsupervised Multitask Learners

ICSE-2019 A Neural Model for Generating Natural Language Summaries of Program Subroutines

ICSE-2019 A Novel Neural Source Code Representation Based on Abstract Syntax Tree

arXiv-2019 Unified Language Model Pre-training for Natural Language Understanding and Generation

CVPR-2019 Unsupervised Embedding Learning via Invariant and Spreading Instance Feature

ICML-2019 Parameter-Efficient Transfer Learning for NLP

ACS Synthetic Biology-2019 Machine Learning Applied to Predicting Microorganism Growth Temperatures and Enzyme Catalytic Optima

NeurIPS-2019 Evaluating Protein Transfer Learning with TAPE

2020

ECCV-2020 CMC: Contrastive Multiview Coding

NeurIPS-2020 Big Self-Supervised Models are Strong Semi-Supervised Learners

NeurIPS-2020 Bootstrap your own latent:A new approach to self-supervised Learning

NeurIPS-2020 Graph Contrastive Learning with Augmentations

NeurIPS-2020 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

MSR-2020 Improved Automatic Summarization of Subroutines via Attention to File Context

SC-2020 ZeRO:Memory Optimizations Toward Training Trillion Parameter Models

arXiv-2020 BYOL works even without batch statistics

KDD-2020 GCC:Graph Contrastive Coding for Graph Neural Network Pre-Training

SIGIR-2020 How to Retrain Recommender System?A Sequential Meta-Learning Method

ACL-2020 Contrastive Code Representation Learning

NeurIPS-2020 Deep Graph Contrastive Representation Learning

ICML-2020 Graph-based, Self-Supervised Program Repair from Diagnostic Feedback

arXiv-2020 Neural Subgraph Matching

ICML-2020 A Simple Framework for Contrastive Learning of Visual Representations

ICML-2020 Contrastive Multi-View Representation Learning on Graphs

ECCV-2020 End-to-End Object Detection with Transformers

OpenAI-2020 Language Models are Few-Shot Learners

ACL-2020 A Transformer-based Approach for Source Code Summarization

ICLR-2020 DivideMix:Learning with Noisy Labels as Semi-supervised Learning

Transactions on Neural Networks and Learning Systems-2020 A Comprehensive Survey on Graph Neural Networks

CVPR-2020 Momentum Contrast for Unsupervised Visual Representation Learning

GTC-2020 Megatron-LM:Training Multi-Billion Parameter Language Models Using Model Parallelism

2021

Human Genetics-2021 Embeddings from protein language models predict conservation and variant effects

KDD-2021 Modeling Protein Using Large-scale Pretrain Language Model

NeurIPS-2021 VLMo:Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts

NeurIPS-2021 Intriguing Properties of Vision Transformers

NeurIPS-2021 Language models enable zero-shot prediction of the effects of mutations on protein function

NeurIPS-2021 Align before Fuse:Vision and Language Representation Learning with Momentum Distillation

Bioinformatics Advances-2021 Light attention predicts protein location from the language of life

CVPR-2021 Masked Autoencoders Are Scalable Vision Learners

EMNLP-2021 Rethinking Data Augmentation for Low-Resource Neural Machine Translation:A Multi-Task Learning Approach

NeurIPS-2021 FLIP:Benchmark tasks in fitness landscape inference for proteins

arXiv-2021 ActionCLIP:A New Paradigm for Video Action Recognition

ICLR-2021 GraphCodeBERT:Pre-training Code Representations with Data Flow

EMNLP-2021 CodeT5:Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

bioRxiv-2021 Toward More General Embeddings for Protein Design:Harnessing Joint Representations of Sequence and Structure

ICCV-2021 Swin Transformer:Hierarchical Vision Transformer using Shifted Windows

ACL-2021 Learning Sequential and Structural Information for Source Code Summarization

ICSME-2021 Ensemble Models for Neural Source Code Summarization of Subroutines

IJCAI-2021 Graph-Augmented Code Summarization in Computational Notebooks

Nature-2021 Highly accurate protein structure prediction with AlphaFold

OpenAI-2021 Evaluating Large Language Models Trained on Code

arXiv-2021 How Much Can CLIP Benefit Vision-and-Language Tasks?

IEEE Transactions on Pattern Analysis and Machine Intelligence-2021 ProtTrans:Towards Cracking the Language of Life’s Code Through Self-Supervised Learning

ICML-2021 Perceiver:General Perception with Iterative Attention

arXiv-2021 CLIP4Clip:An Empirical Study of CLIP for End to End Video Clip Retrieval

Proceedings of the National Academy of Sciences-2021 Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

ICCV-2021 An Empirical Study of Training Self-Supervised Vision Transformers

ICPC-2021 A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

ICML-2021 Learning Transferable Visual Models From Natural Language Supervision

ICML-2021 E(n) Equivariant Graph Neural Networks

ICML-2021 MSA Transformer

ICML-2021 ViLT:Vision-and-Language Transformer Without Convolution or Region Supervision

Bioinformatics-2021 DNABERT:pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome

ICML-2021 Learning inverse folding from millions of predicted structures

Automated Software Engineering-2021 Automating just-in-time comment updating

GCPR-2021 AudioCLIP:Extending CLIP to Image, Text and Audio

ICLR-2021 Learning from Protein Structure with Geometric Vector Perceptrons

ICLR-2021 Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning

ICLR-2021 An Image is Worth 16x16 Words:Transformers for Image Recognition at Scale

ICML-2021 Is Space-Time Attention All You Need for Video Understanding

ACL-2021 Code Summarization with Structure-induced Transformer

2022

NeurIPS-2022 PEER:A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

bioRxiv-2022 Fast protein structure searching using structure graph embeddings

NeurIPS-2022 Transformer Memory as a Differentiable Search Index

EMNLP-2021 HAConvGNN:Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

arXiv-2022 Holistic Evaluation of Language Models

NeurIPS-2022 Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures

NeurIPS-2022 A Neural Corpus Indexer for Document Retrieval

PEDS-2022 Masked inverse folding with sequence transfer for protein representation learning

ICPC-2022 HELoC:Hierarchical Contrastive Learning of Source Code Representation

MM-2022 Can Language Understand Depth?

OpenAI-2022 Robust Speech Recognition via Large-Scale Weak Supervision

Nature Biotechnology-2022 Single-sequence protein structure prediction using a language model and deep learning

EMNLP-2020 CodeBERT:A Pre-Trained Model for Programming and Natural Languages

NeurIPS-2022 CoCa:Contrastive Captioners are Image-Text Foundation Models

NAACL-2022 MoEBERT:from BERT to Mixture-of-Experts via Importance-Guided Adaptation

SIGGRAPH-2022 CLIPasso:Semantically-Aware Object Sketching

CVPR-2022 GroupViT:Semantic Segmentation Emerges from Text Supervision

ECCV-2022 CDS:Contrastive Deep Supervision

ICSE-2022 AST-trans:code summarization with efficient tree-structured attention

ICSE-2022 Cross-Domain Deep Code Search with Few-Shot Meta Learning

AAAI-2022 Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

CVPR-2022 PointCLIP:Point Cloud Understanding by CLIP

arXiv-2022 Learning code summarization from a small and local dataset

arXiv-2022 GLIPv2:Unifying Localization and Vision-Language Understanding

Journal of Systems and Software-2022 Automatic source code summarization with graph attention networks

ICML-2022 Tranception:protein fitness prediction with autoregressive transformers and inference-time retrieval

ICML-2016 A Convolutional Attention Network for Extreme Summarization of Source Code

ACL-2022 Impact of Evaluation Methodologies on Code Summarization

NAACL-2022 CODE-MVP:Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

arXiv-2022 A Survey of Deep Learning Models for Structural Code Understanding

NAR-2022 DeepLoc 2.0:multi-label subcellular localization prediction using protein language models

arXiv-2022 Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

OpenAI-2022 Hierarchical Text-Conditional Image Generation with CLIP Latents

MLSys-2022 Pathways:Asynchronous Distributed Dataflow for ML

Nature Machine Intelligence-2022 Learning functional properties of proteins with language models

OpenAI-2022 Training language models to follow instructions with human feedback

DeepMind-2022 Competition-Level Code Generation with AlphaCode

Stanford-2022 AI Index Report

Report: AI Index Report. Most statistics are drawn from Papers with Code. Because the report contains a large number of figures, individual screenshots are not included here.

Frontiers in Microbiology-2022 iThermo:A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy

ICLR-2022 Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design

ICLR-2022 OntoProtein:Protein Pretraining With Gene Ontology Embedding

ICLR-2022 LoRA:Low-Rank Adaptation of Large Language Models

ICLR-2022 Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

ICLR-2022 Perceiver IO:A General Architecture for Structured Inputs & Outputs

NeurIPS-2022 Chain of Thought Prompting Elicits Reasoning in Large Language Models

ICML-2022 BLIP:Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Nature Biotechnology-2022 Learning protein fitness models from evolutionary and assay-labeled data

CVPR-2022 Grounded Language-Image Pre-trainin

Journal of Machine Learning Research-2022 Switch Transformers:Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

ICLR-2022 Language-driven Semantic Segmentation

ACM Computing Surveys-2022 Deep Meta-learning in Recommendation Systems:A Survey

2023

bioRxiv-2023 IgDesign-In vitro validated antibody design against multiple therapeutic antigens using inverse folding

bioRxiv-2023 Learning sequence, structure, and function representations of proteins with language models

Nature Biotechnology-2023 Protein remote homology detection and structural alignment using deep learning

NeurIPS-2023 PoET:A generative model of protein families as sequences-of-sequences

EMNLP-2023 BioPlanner:Automatic Evaluation of LLMs on Protocol Planning in Biology

NeurIPS-2023 ProteinGym:Large-Scale Benchmarks for Protein Design and Fitness Prediction

NeurIPS-2023 Predicting a Protein’s Stability under a Million Mutations

bioRxiv-2023 Protein generation with evolutionary diffusion:sequence is all you need

KDD-2023 Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design

ICML-2023 End-to-End Full-Atom Antibody Design

Nature Machine Intelligence-2023 Structure-inducing pre-training for generalizable representation learning

Nature Biotechnology-2023 Fast and accurate protein structure search with Foldseek

Science-2023 Evolutionary-scale prediction of atomic-level protein structure with a language model

Bioinformatics-2023 Accurate and efficient protein sequence design through learning concise local environment of residues

CVPR-2020 Improved Baselines with Momentum Contrastive Learning

ICLRw-2023 Enhancing Protein Language Models with Structure-based Encoder and Pre-training

ICML-2023 Structure-informed Language Models Are Protein Designers

ICLR-2023 AIM:Adapting Image Models for Efficient Video Action Recognition

ICLR-2023 Conditional Antibody Design as 3D Equivariant Graph Translation

International Journal of Molecular Sciences-2023 DeepTP:A Deep Learning Model for Thermophilic Protein Prediction

bioRxiv-2023 Ankh:Optimized Protein Language Model Unlocks General-Purpose Modelling

CVPR-2023 Image as a Foreign Language:BEiT Pretraining for All Vision and Vision-Language Tasks

WACV-2023 MixGen:A New Multi-Modal Data Augmentation

bioRxiv-2023 When Geometric Deep Learning Meets Pretrained Protein Language Models

2024

PLOS Computational Biology-2024 Large scale paired antibody language models

bioRxiv-2024 Mixture of Experts Enable Efficient and Effective Protein Understanding and Design

Bioinformatics-2024 Expert-guided protein language models enable accurate and blazingly fast fitness prediction

Nature Communications-2024 A joint embedding of protein sequence and structure enables robust variant effect predictions

arXiv-2024 Movie Gen:A Cast of Media Foundation Models

Nature Computational Science-2025 Improving the prediction of protein stability changes upon mutations by geometric learning and a pre-training strategy

NeurIPS-2024 Multi-Scale Representation Learning for Protein Fitness Prediction

Nature Biotechnology-2024 Multistate and functional protein design using RoseTTAFold sequence space diffusion

ACL Demo-2024 LlamaFactory:Unified Efficient Fine-Tuning of 100+ Language Models

ICML-2024 Feature Reuse and Scaling:Understanding Transfer Learning with Protein Language Models

Nature Communications-2024 PLMSearch:Protein language model powers accurate and fast sequence search for remote homology

Cell Systems-2024 Convolutions are competitive with transformers for protein sequence pretraining

eLife-2024 Sensitive remote homology search by local alignment of small positional embeddings from protein language models

AAAI-2024 T2I-Adapter:Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Journal of Chemical Information and Modeling-2024 TM-search:An Efficient and Effective Tool for Protein Structure Database Search

ICLR-2024 SaProt:Protein Language Modeling with Structure-aware Vocabulary

Bioinformatics-2024 Embedding-based alignment:combining protein language models with dynamic programming alignment to detect structural similarities in the twilight-zone

2025

arXiv-2025 Evaluating Large Language Models in Scientific Discovery

NeurIPS-2025 AI-Researcher:Autonomous Scientific Innovation

EMNLP-2025 From Automation to Autonomy:A Survey on Large Language Models in Scientific Discovery

Nature Biotechnology-2025 Democratizing protein language model training, sharing and collaboration

ACEBench:Who Wins the Match Point in Tool Usage

Genome Biology-2025 Evaluating the representational power of pre-trained DNA language models for regulatory genomics

ICMLw-2025 ProteinCrow:A Language Model Agent That Can Design Proteins

arXiv-2025 Scaling unlocks broader generation and deeper functional understanding of proteins

arXiv-2025 The AI Scientist-v2:Workshop-Level Automated Scientific Discovery via Agentic Tree Search

arXiv-2025 Prot42:a Novel Family of Protein Language Models for Target-aware Protein Binder Generation

COLING-2025 AutoProteinEngine:A Large Language Model Driven Agent Framework for Multimodal AutoML in Protein Engineering

Nature Computational Science-2025 SciToolAgent:A Knowledge Graph-Driven Scientific Agent for Multi-Tool Integration

ICLR-2025 Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions

ICLR-2025 Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization

ICLR-2025 ToolACE:Winning the Points of LLM Function Calling

Science-2025 Simulating 500 million years of evolution with a language model