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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)

Transform to Transfer: Boosting Adversarial Attack Transferability on Vision-Language Pre-training Models CVPR 2026 Transition Matching Distillation for Fast Video Generation CVPR 2026 Transition Models: Rethinking the Generative Learning Objective CVPR 2026 Translating Signals to Languages for sEMG-Based Activity Recognition CVPR 2026 Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages ACL 2026 TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026 TRIDENT: A Trimodal Cascade Generative Framework for Drug and RNA-Conditioned Cellular Morphology Synthesis CVPR 2026 TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement CVPR 2026 Tri-Modal Fusion Transformers for UAV-based Object Detection CVPR 2026 Tri-Subspaces Disentanglement for Multimodal Sentiment Analysis CVPR 2026 Triviality Corrected Endogenous Reward ACL 2026 TRM-VLA: Temporal-Aware Chain-of-Thought Reasoning and Memorization for Vision-Language-Action Models CVPR 2026 TRN-R1-Zero: Text-rich Network Reasoning via LLMs with Reinforcement Learning Only ACL 2026 Trust-calibrated Collaborative Learning for Long-Tailed Visual Recognition CVPR 2026 ttda704 at SemEval-2026 Task 4: Modeling Narrative Structures via Pseudonymization and Multi-View Sentence Alignment SemEval 2026 ttda704 at SemEval-2026 Task 6: Structured Chain-of-Thought Prompting for Political Evasion Detection SemEval 2026 TTLab at SemEval-2026 Task 10: Transformer-based Approaches for Psycholinguistic Conspiracy Detection in Social Media Discourse SemEval 2026 TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models CVPR 2026 TUNE++: Topology-Guided Uncertainty Estimation for Reliable 3D Medical Image Segmentation MIDL 2026 TurboTest: Learning When Less is Enough through Early Termination of Internet Speed Tests NSDI 2026 Tutor-Student Reinforcement Learning: A Dynamic Curriculum for Robust Deepfake Detection CVPR 2026 TVHighlights: LLM-Guided Human-Free Collaborative Training for Video Highlight Detection in Movies and TV Dramas CVPR 2026 U^2Flow: Uncertainty-Aware Unsupervised Optical Flow Estimation CVPR 2026 UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution CVPR 2026 UCSC-NLP at SemEval-2026 Task 13: Multi-View Generalization and Diagnostic Analysis of Machine-Generated Code Detection SemEval 2026