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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)

FVAR: Next-Focus Prediction for Visual Autoregressive Modeling CVPR 2026 Gamba: Mamba-based graph convolutional network with dynamic graph topology learning for action recognition CVPR 2026 Garments2Look: A Multi-Reference Dataset for High-Fidelity Outfit-Level Virtual Try-On with Clothing and Accessories CVPR 2026 Gated Condition Injection without Multimodal Attention: Towards Controllable Linear-Attention Transformers CVPR 2026 Gated KalmaNet: A Fading Memory Layer through Test-time Ridge Regression CVPR 2026 Gau-Occ: Geometry-Completed Gaussians for Multi-Modal 3D Occupancy Prediction CVPR 2026 Gaussian Graphical Learning via PSD Constraint for Blockwise Missing Multimodal Data UAI 2026 GaussianVision: Vision-Language Alignment from Compressed Image Representations using 2D Gaussian Splatting CVPR 2026 GazeShift: Unsupervised Gaze Estimation and Dataset for VR CVPR 2026 GDPO-SR: Group Direct Preference Optimization for One-Step Generative Image Super-Resolution CVPR 2026 GDRO: Group-level Reward Post-training Suitable for Diffusion Models CVPR 2026 GeCo: Geometry-Consistent Regularization for Domain Generalized Semantic Segmentation CVPR 2026 GeCo-SRT: Geometry-aware Continual Adaptation for Cross-Task Sim-to-Real Transfer CVPR 2026 GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery MIDL 2026 GEM-TFL: Bridging Weak and Full Supervision for Forgery Localization through EM-Guided Decomposition and Temporal Refinement CVPR 2026 GenBreak: Red Teaming Text-to-Image Generation Using Large Language Models CVPR 2026 GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery ACL 2026 Generalizable Co-Salient Object Detection via Mixed Content-Style Modulation CVPR 2026 Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation CVPR 2026 Generalizable Sparse-View 3D Reconstruction from Unconstrained Images CVPR 2026 Generalizing Abstention for Noise-Robust Learning in Medical Image Segmentation MIDL 2026 Generative Modeling of Weights: Generalization or Memorization? CVPR 2026 Generative Point Tracking and Forecasting CVPR 2026 Generative Video Compression with One-Dimensional Latent Representation CVPR 2026 GenesisFunc: Multi-Agent Data Generation for Accurate and Generalizable Function-Calling ACL 2026