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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)

Bandit Based Attention Mechanism in Vision Transformers WACV 2025 Bandit Learning in Matching Markets with Indifference ICLR 2025 Bandit Pareto Set Identification in a Multi-Output Linear Model AISTATS 2025 BANGS: Game-theoretic Node Selection for Graph Self-Training ICLR 2025 BankTweak: Adversarial Attack Against Multi-Object Trackers by Manipulating Feature Banks IJCAI 2025 BanNERD: A Benchmark Dataset and Context-Driven Approach for Bangla Named Entity Recognition NAACL 2025 BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla ACL 2025 BanTH: A Multi-label Hate Speech Detection Dataset for Transliterated Bangla NAACL 2025 Barrier Breakers at BLP-2025 Task 2: Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter AACL 2025 Basic Reading Distillation ACL 2025 BasqBBQ: A QA Benchmark for Assessing Social Biases in LLMs for Basque, a Low-Resource Language COLING 2025 Batched Self-Consistency Improves LLM Relevance Assessment and Ranking EMNLP 2025 Batch Ensemble for Variance Dependent Regret in Stochastic Bandits AAAI 2025 Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations AAAI 2025 Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development EMNLP 2025 BATCLIP: Bimodal Online Test-Time Adaptation for CLIP ICCV 2025 Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025 BayesCNS: A Unified Bayesian Approach to Address Cold Start and Non-Stationarity in Search Systems at Scale AAAI 2025 Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems AISTATS 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs AAAI 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025 BBPOS: BERT-based Part-of-Speech Tagging for Uzbek COLING 2025 bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models SemEval 2025 BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses ACL 2025