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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)

GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment ACL 2026 Good Arguments Against the People Pleasers: How Reasoning Mitigates (Yet Masks) LLM Sycophancy ACL 2026 GorillaWatch: An Automated System for In-the-Wild Gorilla Re-Identification and Population Monitoring WACV 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection CVPR 2026 Gracefully Air-Written: Enhancing the Legibility and Style Consistency of In-Air Handwriting AAAI 2026 GRAD: Generalizing RAG Adaptation with Decoding ACL 2026 Gradient Descenders at SemEval-2026 Task 9: Data-Centric Counterfactual Augmentation for Multi-Label Hate Speech Detection SemEval 2026 Gradient-Guided Reward Optimization for Inference-time Alignment UAI 2026 Gradual Uncertainty Refinement via Noise-Driven Curriculum: A Post-Hoc Meta-Model for Robust Uncertainty Quantification UAI 2026 Graph Contrastive Learning with Low-Rank Regularization and Low-Rank Attention for Noisy Node Classification UAI 2026 GraPHFormer: A Multimodal Graph Persistent Homology Transformer for the Analysis of Neuroscience Morphologies CVPR 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models ACL 2026 GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs ACL 2026 GraspALL: Adaptive Structural Compensation from Illumination Variation for Robotic Garment Grasping in Any Low-Light Conditions CVPR 2026 GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion CVPR 2026 Grid Distillation: Compositional Image Distillation via Structured Generative Grids CVPR 2026 GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models ACL 2026 Grokked Models are Better Unlearners UAI 2026 Grounded Chain-of-Thought for Multimodal Large Language Models CVPR 2026 Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce ACL 2026 Group Editing: Edit Multiple Images in One Go CVPR 2026 GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping CVPR 2026 GS-ASM: 2DGS-Supervised Active Stereo Matching CVPR 2026 GS-CLIP: Zero-shot 3D Anomaly Detection by Geometry-Aware Prompt and Synergistic View Representation Learning CVPR 2026