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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)

Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning ACL 2025 Blind2Sound: Self-Supervised Image Denoising without Residual Noise ICCV 2025 Blind Noisy Image Deblurring Using Residual Guidance Strategy ICCV 2025 BlinkTrack: Feature Tracking over 80 FPS via Events and Images ICCV 2025 BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices CVPR 2025 BlueNeg: A 35mm Negative Film Dataset for Restoring Channel-Heterogeneous Deterioration ICCV 2025 BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning ACL 2025 BMIP: Bi-directional Modality Interaction Prompt Learning for VLM IJCAI 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment CVPR 2025 BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding CVPR 2025 Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation ACL 2025 Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad? ICML 2025 Boosting Adversarial Transferability via Negative Hessian Trace Regularization ICCV 2025 Boosting Adversarial Transferability via Residual Perturbation Attack ICCV 2025 Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning AAAI 2025 Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners ICML 2025 Boosting Multimodal Learning via Disentangled Gradient Learning ICCV 2025 Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA ACL 2025 Boosting Semi-Supervised Video Action Detection with Temporal Context WACV 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning AAAI 2025 Boosting Zero-shot Stereo Matching Using Large-Scale Mixed Images Sources in the Real World IJCAI 2025 Boost the Inference with Co-training: A Depth-guided Mutual Learning Framework for Semi-supervised Medical Polyp Segmentation CVPR 2025 Boost Your Human Image Generation Model via Direct Preference Optimization CVPR 2025 Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding AAAI 2025