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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)

Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces ICML 2025 Fundamental computational limits of weak learnability in high-dimensional multi-index models AISTATS 2025 FunghiFunghi at SemEval-2025 Task 3: Mu-SHROOM, the Multilingual Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SemEval 2025 Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation ICCV 2025 FuseChat: Knowledge Fusion of Chat Models EMNLP 2025 FUSE-MOS: Fusion of Speech Embeddings for MOS Prediction with Uncertainty Quantification Interspeech 2025 Fusing Highly Specialized Language Models for Comprehensive Expertise ACL 2025 FVGen: Accelerating Novel-View Synthesis with Adversarial Video Diffusion Distillation ICCV 2025 G2SF: Geometry-Guided Score Fusion for Multimodal Industrial Anomaly Detection ICCV 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025 GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis ACL 2025 Gait-X: Exploring X modality for Generalized Gait Recognition ICCV 2025 GALAXY: A Large-Scale Open-Domain Dataset for Multimodal Learning Interspeech 2025 Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding CVPR 2025 Galileo: Learning Global & Local Features of Many Remote Sensing Modalities ICML 2025 GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding ACL 2025 Game4Loc: A UAV Geo-Localization Benchmark from Game Data AAAI 2025 GAMEBoT: Transparent Assessment of LLM Reasoning in Games ACL 2025 GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs EMNLP 2025 Gamma Distribution PCA-Enhanced Feature Learning for Angle-Robust SAR Target Recognition ICML 2025 GapMatch: Bridging Instance and Model Perturbations for Enhanced Semi-Supervised Medical Image Segmentation AAAI 2025 GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization ACL 2025 GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach AAAI 2025 GARF: Learning Generalizable 3D Reassembly for Real-World Fractures ICCV 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching AAAI 2025