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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)

Beyond Mimicry: Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations CVPR 2026 Beyond Missing Modalities: Hypergraph Conditioned Diffusion for Uncertainty-Aware Multimodal Emotion Recognition CVPR 2026 Beyond Mixtures and Products for Ensemble Aggregation: A Likelihood Perspective on Generalized Means UAI 2026 Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFT CVPR 2026 Beyond Myopic Alignment: Lookahead Optimization for Online Class-Incremental Learning CVPR 2026 Beyond Natural Images: A Dual-Stream DINOv3 Framework for PET/CT Segmentation MIDL 2026 Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification CVPR 2026 Beyond Pedagogical Principles: Multi-Horizon Preference Optimization for Efficient Socratic Tutoring ACL 2026 Beyond Single Representations: Multi-Model Embedding Fusion for Stable Text Classification ACL 2026 Beyond Soft Label: Dataset Distillation via Orthogonal Gradient Matching CVPR 2026 Beyond Strict Pairing: Arbitrarily Paired Training for High-Performance Infrared and Visible Image Fusion CVPR 2026 Beyond Text Prompts: Precise Concept Erasure through Text-Image Collaboration CVPR 2026 Beyond Text: Visual Description Assembly by Probabilistic Model for CLIP-based Weakly Supervised Semantic Segmentation CVPR 2026 Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction WACV 2026 Beyond the Golden Data: Resolving the Motion-Vision Quality Dilemma via Timestep Selective Training CVPR 2026 Beyond the Ground Truth: Enhanced Supervision for Image Restoration CVPR 2026 Beyond the Static World: Continual Category Discovery under Visual Drift CVPR 2026 Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration CVPR 2026 Beyond Weak Supervision: MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged Object Detection CVPR 2026 Beyond What's Shared: Recovering Lost Unique Information from Intermediate Layers to Boost Multimodal Geo-Foundation Models CVPR 2026 BHCast: Unlocking Black Hole Plasma Dynamics from a Single Blurry Image with Long-Term Forecasting CVPR 2026 Bias Fitting to Mitigate Length Bias of Reward Model in RLHF ACL 2026 Bias Is a Subspace, Not a Coordinate: A Geometric Rethinking of Post-hoc Debiasing in Vision-Language Models CVPR 2026 Bidirectional Query-Driven Generation of Parametric CAD Sketch CVPR 2026 BiEvLight: Bi-level Learning of Task-Aware Event Refinement for Low-Light Image Enhancement CVPR 2026