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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)

Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation NSDI 2026 Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals CVPR 2026 Phased One-Step Adversarial Equilibrium for Video Diffusion Models AAAI 2026 PhaSR: Generalized Image Shadow Removal with Physically Aligned Priors CVPR 2026 PhenoYieldNet: Learning Crop-Aware Phenological Responses for Multi-Crop Yield Prediction CVPR 2026 Phrase-grounded APO for Improving Chest X-ray Report Generation CVPR 2026 Phrase-Grounding-Aware Supervised Fine-Tuning for Chart Recognition via Side-Masked Attention CVPR 2026 pH-Strips for Selective Forgetting: A Blunt but Fast Diagnostic Baseline for Machine Unlearning CVPR 2026 Physically-Grounded Turbulence Mitigation with Frame-Shared Degradation Parameters CVPR 2026 Physics-Guided Multistep Deformation Reversal for Ancient Bamboo Slip Restoration CVPR 2026 PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning CVPR 2026 PhysVid: Physics Aware Local Conditioning for Generative Video Models CVPR 2026 PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ACL 2026 Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing CVPR 2026 PIKACHU: Prototypical In-context Knowledge Adaptation for Clinical Heterogeneous Usage MIDL 2026 PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models WACV 2026 PixARMesh: Autoregressive Mesh-Native Single-View Scene Reconstruction CVPR 2026 PixDLM: A Dual-Path Multimodal Language Model for UAV Reasoning Segmentation CVPR 2026 Pixel Phantoms at SemEval-2026 Task 13: Exploring Classical and Neural Approaches for AI-Generated Code Detection SemEval 2026 Pixel Phantoms at SemEval-2026 Task 3: Language-Specific Transformer Regression for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 PIX-TAB: Efficient PIXel-Precise TABle Structure Recognition Approach with Speculative Decoding and Region-Based Image Segmentation CVPR 2026 PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning CVPR 2026 PLlama at SemEval-2026 Task 4: Zero-shot Prompting with Llama-3.2 for Narrative Similarity SemEval 2026 Plug-and-Play Incomplete Multi-View Clustering via Janus-Faced Affinity Learning with Topology Harmonization CVPR 2026 Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers CVPR 2026