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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
Hyperbolic Category Discovery
CVPR 2025
Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval
CVPR 2025
Towards Lossless Implicit Neural Representation via Bit Plane Decomposition
CVPR 2025
Suit the Node Pair to the Case: A Multi-Scale Node Pair Grouping Strategy for Graph-MLP Distillation
IJCAI 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
AAAI 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
CVPR 2025
Adaptive Keyframe Sampling for Long Video Understanding
CVPR 2025
Improving Consistency in LLM Inference using Probabilistic Tokenization
NAACL 2025
CIKT: A Collaborative and Iterative Knowledge Tracing Framework with Large Language Models
EMNLP 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
A Graph-Theoretical Framework for Analyzing the Behavior of Causal Language Models
EMNLP 2025
Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization
NAACL 2025
Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning
IJCAI 2025
Benchmarking Distributional Alignment of Large Language Models
NAACL 2025
Speech Discrete Tokens or Continuous Features? A Comparative Analysis for Spoken Language Understanding in SpeechLLMs
EMNLP 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
Causality-Inspired Disentanglement for Fair Graph Neural Networks
IJCAI 2025
Automated Detection of Pre-training Text in Black-box LLMs
IJCAI 2025
Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis
AAAI 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AAAI 2024
What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks
NIPS 2024
Cross-modal Representation Flattening for Multi-modal Domain Generalization
NIPS 2024
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers
NIPS 2024
NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics
NIPS 2024
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