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Methodology
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Machine Learning
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Representation Learning
2843 directly classified papers
Papers per year
2002: 1
2005: 2
2006: 5
2007: 11
2008: 12
2009: 10
2010: 6
2011: 6
2012: 30
2013: 36
2014: 34
2015: 20
2016: 42
2017: 82
2018: 128
2019: 189
2020: 266
2021: 279
2022: 382
2023: 358
2024: 451
2025: 486
2026: 7
Papers
Continual Learners are Incremental Model Generalizers
ICML 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
ICML 2023
CodeIPPrompt: Intellectual Property Infringement Assessment of Code Language Models
ICML 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling
ICML 2023
The Wisdom of Hindsight Makes Language Models Better Instruction Followers
ICML 2023
Patch-level Contrastive Learning via Positional Query for Visual Pre-training
ICML 2023
Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
ICML 2023
The Benefits of Mixup for Feature Learning
ICML 2023
Towards Generalizable Reinforcement Learning for Trade Execution
IJCAI 2023
Search-Map-Search: A Frame Selection Paradigm for Action Recognition
CVPR 2023
DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
CVPR 2023
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
CVPR 2023
Numeric Magnitude Comparison Effects in Large Language Models
ACL 2023
Learning Chemical Rules of Retrosynthesis with Pre-training
AAAI 2023
Is Probing All You Need? Indicator Tasks as an Alternative to Probing Embedding Spaces
EMNLP 2023
Disfluent Cues for Enhanced Speech Understanding in Large Language Models
EMNLP 2023
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023
Temporal Knowledge Graph Reasoning with Historical Contrastive Learning
AAAI 2023
Knowledge Graph Embedding by Normalizing Flows
AAAI 2023
Methodological Insights in Detecting Subtle Semantic Shifts with Contextualized and Static Language Models
EMNLP 2023
Leveraging Old Knowledge to Continually Learn New Classes in Medical Images
AAAI 2023
Replicable Reinforcement Learning
NIPS 2023
Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection
AAAI 2023
Contrastive Pre-training with Adversarial Perturbations for Check-In Sequence Representation Learning
AAAI 2023
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