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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)

From Infusion to Assimilation Distillation for Medical Image Segmentation CVPR 2026 From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing CVPR 2026 From log 𝜋 to 𝜋: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight ACL 2026 From Manuals to Actions: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation CVPR 2026 From Moves to Paths: A Hierarchical Framework for Trajectory Representation Learning UAI 2026 From None to All: Self-Supervised 3D Reconstruction via Novel View Synthesis CVPR 2026 From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial Settings CVPR 2026 From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature CVPR 2026 From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation ACL 2026 From Pixel to Precision: Enhancing Handwritten Mathematical Expression Recognition with Image-Level Reward CVPR 2026 From Proof to Program: Characterizing Tool-Induced Reasoning Hallucinations in Large Language Models ACL 2026 From Rays to Projections: Better Inputs for Feed-Forward View Synthesis CVPR 2026 From Scale to Speed: Adaptive Test-Time Scaling for Image Editing CVPR 2026 From Selection to Refinement: Iterative Optimization for Instruction Data ACL 2026 From Selection to Scheduling: Federated Geometry-Aware Correction Makes Exemplar Replay Work Better under Continual Dynamic Heterogeneity CVPR 2026 From Softmax to Dirichlet: Evidential Learning for Semi-supervised Semantic Segmentation CVPR 2026 From Sparse to Sense-Grounded: Wikipedia Training for Ukrainian Visual-WSD CoNLL 2026 From Spots to Pixels: Dense Spatial Gene Expression Prediction from Histology Images CVPR 2026 From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning CVPR 2026 FSLoRA: Harmonizing Detection and Re-Identification via Freq-Spatial Low-Rank Adapter for One-Stage Person Search CVPR 2026 Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models CVPR 2026 Functional Mean Flow in Hilbert Space CVPR 2026 FunnyBorg at SemEval-2026 Task 1: Humor Generation SemEval 2026 Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization CVPR 2026 Fusion Training for Mathematical Generalization in Large Language Models ACL 2026