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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)

BitNet: 1-bit Pre-training for Large Language Models JMLR 2025 Bitune: Leveraging Bidirectional Attention to Improve Decoder-Only LLMs EMNLP 2025 BJTU at BEA 2025 Shared Task: Task-Aware Prompt Tuning and Data Augmentation for Evaluating AI Math Tutors ACL 2025 BLCU-ICALL at BEA 2025 Shared Task: Multi-Strategy Evaluation of AI Tutors ACL 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction AAAI 2025 Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning ACL 2025 Blind2Sound: Self-Supervised Image Denoising without Residual Noise ICCV 2025 Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model CVPR 2025 Blinded by Context: Unveiling the Halo Effect of MLLM in AI Hiring ACL 2025 Blind Men and the Elephant: Diverse Perspectives on Gender Stereotypes in Benchmark Datasets EMNLP 2025 BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs AAAI 2025 BlueRay@DravidianLangTech-2025: Fake News Detection in Dravidian Languages NAACL 2025 BMIP: Bi-directional Modality Interaction Prompt Learning for VLM IJCAI 2025 BnSentMix: A Diverse Bengali-English Code-Mixed Dataset for Sentiment Analysis COLING 2025 BnTTS: Few-Shot Speaker Adaptation in Low-Resource Setting NAACL 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment CVPR 2025 Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures ICCV 2025 BoN Appetit Team at LeWiDi-2025: Best-of-N Test-time Scaling Can Not Stomach Annotation Disagreements (Yet) EMNLP 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training ICML 2025 Boosting Adversarial Transferability through Augmentation in Hypothesis Space CVPR 2025 Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025 Boosting Class Representation via Semantically Related Instances for Robust Long-Tailed Learning with Noisy Labels ICCV 2025