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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)

Through the Frequency Lens: Cross-Domain Generalisable Gaze Estimation with Adaptive Modulation CVPR 2026 TIACam: Text-Anchored Invariant Feature Learning with Auto-Augmentation for Camera-Robust Zero-Watermarking CVPR 2026 Tight Sample Complexity of Transformers COLT 2026 Time-aware Motion Planning in Dynamic Environments with Conformal Prediction L4DC 2026 Time-Aware One Step Diffusion Network for Real-World Image Super-Resolution CVPR 2026 TimeBridge: Self-Supervised Video Representation Learning via Start-End Joint Embedding and In-Between Frame Prediction CVPR 2026 TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting ACL 2026 Time Without Time: Pseudo-Temporal Representation for Space-Time Super-Resolution CVPR 2026 TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models CVPR 2026 TInR: Exploring Tool-Internalized Reasoning in Large Language Models ACL 2026 TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment CVPR 2026 TiViBench: Benchmarking Think-in-Video Reasoning for Video Generation CVPR 2026 TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection CVPR 2026 TLoRA: Task-aware Low Rank Adaptation of Large Language Models ACL 2026 TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery ACL 2026 TM-BSN: Triangular-Masked Blind-Spot Network for Real-World Self-Supervised Image Denoising CVPR 2026 Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans CVPR 2026 Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood ACL 2026 TokenLight: Precise Lighting Control in Images using Attribute Tokens CVPR 2026 ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution ACL 2026 Too Long, Do Re-weighting for Efficient LLM Reasoning Compression ACL 2026 ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ACL 2026 TopoCL: Topological Contrastive Learning for Medical Imaging CVPR 2026 Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation MIDL 2026 Topology-aware Feature Propagation for Unsupervised Non-rigid Point Cloud Correspondence CVPR 2026