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← 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
How Persuasive Is Your Context?
EMNLP 2025
Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
ACL 2025
SEAL: Semantic Attention Learning for Long Video Representation
CVPR 2025
Improving Rule-based Reasoning in LLMs using Neurosymbolic Representations
EMNLP 2025
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
EMNLP 2025
Transformer-Based Temporal Information Extraction and Application: A Review
EMNLP 2025
Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
EMNLP 2025
Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
EMNLP 2025
Which Word Orders Facilitate Length Generalization in LMs? An Investigation with GCG-Based Artificial Languages
EMNLP 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Investigating Dictionary Expansion for Video-based Sign Language Dictionaries
EMNLP 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
SubLIME: Subset Selection via Rank Correlation Prediction for Data-Efficient LLM Evaluation
ACL 2025
Do Your Best and Get Enough Rest for Continual Learning
CVPR 2025
VADE: Visual Attention Guided Hallucination Detection and Elimination
ACL 2025
Multi-word Measures: Modeling Semantic Change in Compound Nouns
ACL 2025
Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
CVPR 2025
The discordance between embedded ethics and cultural inference in large language models
EMNLP 2025
A Practical Method for Generating String Counterfactuals
NAACL 2025
Probing the Mid-level Vision Capabilities of Self-Supervised Learning
CVPR 2025
From Curiosity to Clarity : Exploring the Impact of Consecutive Why-Questions
NAACL 2025
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
NAACL 2025
Avoiding Copyright Infringement via Large Language Model Unlearning
NAACL 2025
Learning conditional distributions on continuous spaces
JMLR 2025
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