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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)

Free-Grained Hierarchical Visual Recognition CVPR 2026 Free-Lunch Long Video Generation via Layer-Adaptive O.O.D Correction CVPR 2026 FreeScale: Scaling 3D Scenes via Certainty-Aware Free-View Generation CVPR 2026 FreqSIC: Frequency-aware Stereo Image Compression with Bi-directional Checkerboard Context Model CVPR 2026 Frequency-Aware Affinity for Weakly Supervised Semantic Segmentation CVPR 2026 From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment ACL 2026 From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control ACL 2026 From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning ACL 2026 From Attraction to Equilibrium: Physics-Inspired Semantic Gravitons for Zero-Shot Anomaly Detection CVPR 2026 From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation ACL 2026 From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning ACL 2026 From Contrast to Consistency: Rethinking Event-based Continuous-Time Optical Flow Estimation CVPR 2026 From Cross-Sectional CT to Dynamic Insights: Pseudotime-Based Modeling of Lung Nodule Progression MIDL 2026 From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan ACL 2026 From Detection to Association: Learning Discriminative Object Embeddings for Multi-Object Tracking CVPR 2026 From Experts to Bases: Orthogonal Subspace Mixture for Continual Multimodal Instruction Tuning ACL 2026 From Exploration to Exploitation: A Two-Stage Entropy RLVR Approach for Noise-Tolerant MLLM Training CVPR 2026 From Feature Learning to Spectral Basis Learning: A Unifying and Flexible Framework for Efficient and Robust Shape Matching CVPR 2026 From Few-way to Many-way: Rethinking Few-shot Fine-grained Image Classification CVPR 2026 From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication ACL 2026 From Form to Logic: Masked Reconstruction and Reasoning Distillation for Short Video Fake News Detection ACL 2026 From Global to Factor-Wise Expert Composition in Discrete Diffusion Models UAI 2026 From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge Graphs ACL 2026 From ID to LLM: Rethinking Representation Learning for Recommendation ACL 2026 From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference Optimization ACL 2026