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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

BiGain: Unified Token Compression for Joint Generation and Classification CVPR 2026 Bi-ICE: An Inner Interpretable Framework for Image Classification via Bi-directional Interactions between Concept and Input Embeddings WACV 2026 Bilevel Layer-Positioning LoRA for Real Image Dehazing CVPR 2026 BioHiCL: Hierarchical Multi-Label Contrastive Learning for Biomedical Retrieval with MeSH Labels ACL 2026 BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment CVPR 2026 BiProLoRA: Bilevel Prompt LoRA for Real Scene Recovery CVPR 2026 BITS Pilani at SemEval-2026 Task 9: Structured Supervised Fine-Tuning with DPO Refinement for Polarization Detection SemEval 2026 Bitzkrieg at SemEval-2026 Task 13: Calibration-Aware Dual CodeBERT for Multilingual Machine-Generated Code Detection SemEval 2026 Block-based Learned Image Compression without Blocking Artifacts CVPR 2026 BluRef: Unsupervised Image Deblurring with Dense-Matching References CVPR 2026 Boosting Medical Vision-Language Pretraining via Momentum Self-Distillation under Limited Computing Resources WACV 2026 Boosting Reasoning in Large Multimodal Models via Activation Replay CVPR 2026 Boosting Self-Supervised Tracking with Contextual Prompts and Noise Learning CVPR 2026 Boosting Unsupervised Video Instance Segmentation with Automatic Quality-Guided Self-Training WACV 2026 Boosting Vision-Language Models Towards Cross-Domain Incremental Object Detection CVPR 2026 Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning CVPR 2026 Bootstrapped Physically-Primed Neural Networks for Robust T2 Distribution Estimation in Low-SNR Pancreatic MRI MIDL 2026 Bootstrapping Code Translation with Weighted Multilanguage Exploration ACL 2026 Bootstrapping Multi-view Learning for Test-time Noisy Correspondence CVPR 2026 Bootstrapping Video Semantic Segmentation Model via Distillation-assisted Test-Time Adaptation CVPR 2026 Bootstrap Your Own AV-Proxies: Adaptive Contrastive and Prototype Learning for Audio-Visual Segmentation CVPR 2026 Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models ACL 2026 Boundary-Responsive Differentiable Gating for Superpixel-Based Segmentation CVPR 2026 Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text Detection ACL 2026 Breaking the Reward Barrier: Accelerating Tree-of-Thought Reasoning via Speculative Exploration OSDI 2026