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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)

Real-Time Neural Denoising with Render-Aware Knowledge Distillation AAAI 2025 Real-World Summarization: When Evaluation Reaches Its Limits EMNLP 2025 REARANK: Reasoning Re-ranking Agent via Reinforcement Learning EMNLP 2025 Reason-before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval CVPR 2025 Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models EMNLP 2025 Reasoning Does Not Necessarily Improve Role-Playing Ability ACL 2025 Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance EMNLP 2025 Reasoning Graph Enhanced Exemplars Retrieval for In-Context Learning COLING 2025 Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding CVPR 2025 Reasoning-Oriented and Analogy-Based Methods for Locating and Editing in Zero-Shot Event-Relational Reasoning COLING 2025 Reasoning or Memorization? Investigating LLMs’ Capability in Restoring Chinese Internet Homophones ACL 2025 Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking EMNLP 2025 Reasoning Under Distress: Mining Claims and Evidence in Mental Health Narratives ACL 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 Rebalancing Multi-Label Class-Incremental Learning AAAI 2025 Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025 RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging EMNLP 2025 Recent Advancements and Challenges of Turkic Central Asian Language Processing COLING 2025 Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction COLING 2025 RecGPT: A Foundation Model for Sequential Recommendation EMNLP 2025 RecLM: Recommendation Instruction Tuning ACL 2025 Recognize Any Surgical Object: Unleashing the Power of Weakly-Supervised Data ICLR 2025 Recognizing Limits: Investigating Infeasibility in Large Language Models EMNLP 2025 Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs WACV 2025 Recommender Systems for Democracy: Toward Adversarial Robustness in Voting Advice Applications IJCAI 2025