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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)

How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study ACL 2026 How to Improve LLMs’ Performance on Specific Languages: A Perspective on LLM-Derived Language Similarity ACL 2026 How Training Data Shapes the Use of Parametric and In-Context Knowledge in Language Models ACL 2026 HTMR: Hybrid Token Masking Reinforcement Learning with Verifiable Rewards for Event Argument Extraction with Multi-Perspective Reasoning ACL 2026 HU at SemEval-2026 Task 10: Psycholinguistic Conspiracy Marker Extraction and Detection SemEval 2026 Hugging Visual Prompt and Segmentation Tokens: Consistency Learning for Fine-Grained Visual Understanding in MLLMs CVPR 2026 Human-Centric Multi-Exposure Fusion: Benchmark and Bi-level Cognition Distillation Framework CVPR 2026 Humanoid Generative Pre-Training for Zero-Shot Motion Tracking CVPR 2026 HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation CVPR 2026 Hunting Normality from Query Sample via Residual Learning for Generalist Anomaly Detection CVPR 2026 HUS@NLP-VNU at SemEval-2026 Task 3: Dual-Stream Syntax-Aware Modeling and Direct Preference Optimization for Dimensional ABSA SemEval 2026 Hybrid Agents for Image Restoration CVPR 2026 HybridDriveVLA: Vision-Language-Action Model with Visual CoT reasoning and ToT Evaluation for Autonomous Driving CVPR 2026 Hyperbolic Defect Feature Synthesis for Few-Shot Defect Classification CVPR 2026 Hyperbolic Gramian Volumes for Multimodal Alignment CVPR 2026 Hyperbolic Prototype Learning with Uncertainty-Aware Consistency for Continual Test-Time Segmentation CVPR 2026 HyperCT: Low-Rank Hypernet for Unified Chest CT Analysis MIDL 2026 HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork CVPR 2026 HyperparameterOmens at SemEval-2026 Task 13: Various approaches to detecting machine- generated code SemEval 2026 HySeg: Learning Generative Priors for Structure-Aware Remote Sensing Segmentation CVPR 2026 I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing ACL 2026 IAFMNet: Information-Aware Feature Modulation for Efficient Super-Resolution CVPR 2026 IAG: Input-aware Backdoor Attack on VLM-based Visual Grounding CVPR 2026 ICI Innolabs at SemEval-2026 Task 13: Sliding Windows Meet Code Transformers SemEval 2026 ICL-NoiseUNet - A Novel In-Context Learning Based Framework For Ultrasound Segmentation With Adaptive Noise Modulation MIDL 2026