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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

The First Workshop on Multilingual Counterspeech Generation at COLING 2025: Overview of the Shared Task COLING 2025 The Gaps between Fine Tuning and In-context Learning in Bias Evaluation and Debiasing COLING 2025 The Geometry of Creative Variability: How Credal Sets Expose Calibration Gaps in Language Models EMNLP 2025 The Good, the Bad, and the Debatable: A Survey on the Impacts of Data for In-Context Learning EMNLP 2025 The Hallucination Tax of Reinforcement Finetuning EMNLP 2025 The Hardness of Validating Observational Studies with Experimental Data AISTATS 2025 The Human in Interactive Machine Learning: Analysis and Perspectives for Ambient Intelligence (Abstract Reprint) IJCAI 2025 The Illusion of Progress: Re-evaluating Hallucination Detection in LLMs EMNLP 2025 The Illusion of Unlearning: The Unstable Nature of Machine Unlearning in Text-to-Image Diffusion Models CVPR 2025 The impact of allocation strategies in subset learning on the expressive power of neural networks ICLR 2025 The Impact of Dialect Variation on Robust Automatic Speech Recognition for Catalan NAACL 2025 The Impact of Language Mixing on Bilingual LLM Reasoning EMNLP 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models ICCV 2025 The Kyrgyz Seed Dataset Submission to the WMT25 Open Language Data Initiative Shared Task EMNLP 2025 The Language of Interoception: Examining Embodiment and Emotion Through a Corpus of Body Part Mentions EMNLP 2025 The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination ACL 2025 The "Law'' of the Unconscious Contrastive Learner: Probabilistic Alignment of Unpaired Modalities ICLR 2025 The Master Key Filters Hypothesis: Deep Filters Are General AAAI 2025 The Million Authors Corpus: A Cross-Lingual and Cross-Domain Wikipedia Dataset for Authorship Verification ACL 2025 The Mirage of Model Editing: Revisiting Evaluation in the Wild ACL 2025 The Missing Alignment Link of In-context Learning on Sequences ICML 2025 The Missing Cause: An Analysis of Causal Attributions in Reporting on Palestine COLING 2025 The Nature of NLP: Analyzing Contributions in NLP Papers ACL 2025 Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025