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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)

Anchor: Branch-Point Data Generation for GUI Agents ACL 2026 Anchor-Guided Gradient Alignment for Incomplete Multimodal Learning CVPR 2026 Anchoring the Mind of Multimodal Reasoners: Cognitive Bias as a Vector for Jailbreak Attacks CVPR 2026 AnchorSeg: Language Grounded Query Banks for Reasoning Segmentation ACL 2026 An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision ACL 2026 An Exploration of Mamba for Speech Self-Supervised Models ACL 2026 An improved architecture for part-based animal re-identification through semantic segmentation distillation WACV 2026 An Instance-Centric Panoptic Occupancy Prediction Benchmark for Autonomous Driving CVPR 2026 Annotation Entropy Predicts Per-Example Learning Dynamics in LoRA Fine-Tuning ACL 2026 AnomalyVFM -- Transforming Vision Foundation Models into Zero-Shot Anomaly Detectors CVPR 2026 An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning CVPR 2026 A Novel Matching Paradigm: Unified Generative and Discriminative LLM with Prompt Compression for Relevance Learning ACL 2026 AnthroTAP: Learning Point Tracking with Real-World Motion CVPR 2026 Anti-Degradation Lifelong Multi-View Clustering CVPR 2026 Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models ACL 2026 ANTS: Adaptive Negative Textual Space Shaping for OOD Detection via Test-Time MLLM Understanding and Reasoning CVPR 2026 Any Detector Can Detect Anything WACV 2026 AnyDoc: Enhancing Document Generation via Large-Scale HTML/CSS Data Synthesis and Height-Aware Reinforcement Optimization CVPR 2026 AnyID: Ultra-Fidelity Universal Identity-Preserving Video Generation from Any Visual References CVPR 2026 AnyPcc: Compressing Any Point Cloud with a Single Universal Model CVPR 2026 Approximation-Free Differentiable Oblique Decision Trees JMLR 2026 Archaeology at SemEval-2026 Task 13: Fine-Tuning Pre-Trained Code Models for AI-Generated Code Detection SemEval 2026 ARC Is a Vision Problem! CVPR 2026 Are Image-to-Video Models Good Zero-Shot Image Editors? CVPR 2026 ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System ACL 2026