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Methodology
← Learning Types
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
Mitigating Over-Smoothing in Graph Neural Networks via Separation Coefficient-Guided Adaptive Graph Structure Adjustment
IJCAI 2025
Heterophily-Aware Personalized PageRank for Node Classification
IJCAI 2025
neDIOM: Dataset and Analysis of Nepali Idioms
COLING 2025
Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
CVPR 2025
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning
IJCAI 2025
Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation
IJCAI 2025
Semantic Analysis of Jurisprudential Zoroastrian Texts in Pahlavi: A Word Embedding Approach for an Extremely Under-Resourced, Extinct Language
COLING 2025
Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors (Extended Abstract)
IJCAI 2025
PLAN: Proactive Low-Rank Allocation for Continual Learning
ICCV 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
ICCV 2025
Adapt LLM for Multi-turn Reasoning QA using Tidy Data
COLING 2025
Beyond Isolated Words: Diffusion Brush for Handwritten Text-Line Generation
ICCV 2025
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
AAAI 2025
I Am Big, You Are Little; I Am Right, You Are Wrong
ICCV 2025
Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia
COLING 2025
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition Dataset
ICCV 2025
Correlative and Discriminative Label Grouping for Multi-Label Visual Prompt Tuning
CVPR 2025
HiNeuS: High-fidelity Neural Surface Mitigating Low-texture and Reflective Ambiguity
ICCV 2025
Stop Jostling: Adaptive Negative Sampling Reduces the Marginalization of Low-Resource Language Tokens by Cross-Entropy Loss
COLING 2025
Co-Evolving LLMs and Embedding Models via Density-Guided Preference Optimization for Text Clustering
EMNLP 2025
Steering Language Models in Multi-Token Generation: A Case Study on Tense and Aspect
EMNLP 2025
Reason to Rote: Rethinking Memorization in Reasoning
EMNLP 2025
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
EMNLP 2025
Latent Inter-User Difference Modeling for LLM Personalization
EMNLP 2025
Studying the Representation of the LGBTQ+ Community in RuPaul’s Drag Race with LLM-Based Topic Modeling
NAACL 2025
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