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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)

A Theoretical Framework for Partially-Observed Reward States in RLHF ICLR 2025 A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025 A Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration AISTATS 2025 A Theory of Initialisation's Impact on Specialisation ICLR 2025 A Theory of Learning Unified Model via Knowledge Integration from Label Space Varying Domains CVPR 2025 A Theory of Response Sampling in LLMs: Part Descriptive and Part Prescriptive ACL 2025 A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models AAAI 2025 A Tight Regret Analysis of Non-Parametric Repeated Contextual Brokerage AISTATS 2025 A Tiny Change, A Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment ICCV 2025 ATLANTIS at SemEval-2025 Task 3 : Detecting Hallucinated Text Spans in Question Answering SemEval 2025 ATLANTIS: Weak-to-Strong Learning via Importance Sampling ACL 2025 ATLAS: Agent Tuning via Learning Critical Steps ACL 2025 Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect COLING 2025 Atomic Consistency Preference Optimization for Long-Form Question Answering IJCNLP 2025 Atoxia: Red-teaming Large Language Models with Target Toxic Answers NAACL 2025 ATP: Adaptive Threshold Pruning for Efficient Data Encoding in Quantum Neural Networks CVPR 2025 A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation EMNLP 2025 A Training-free Synthetic Data Selection Method for Semantic Segmentation AAAI 2025 A Trajectory-Based Bayesian Approach to Multi-Objective Hyperparameter Optimization with Epoch-Aware Trade-Offs UAI 2025 A Transfer Attack to Image Watermarks ICLR 2025 ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution Errors ACL 2025 A Triple-View Framework for Fine-Grained Emotion Classification with Clustering-Guided Contrastive Learning ACL 2025 A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025 Attack as Defense: Safeguarding Large Vision-Language Models from Jailbreaking by Adversarial Attacks EMNLP 2025 AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples AAAI 2025