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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)

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion AAAI 2025 Representation of Perceived Prosodic Similarity of Conversational Feedback Interspeech 2025 Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data AAAI 2025 Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms AISTATS 2025 Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework AAAI 2025 Representing Speech Through Autoregressive Prediction of Cochlear Tokens Interspeech 2025 REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research? ACL 2025 Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation ICCV 2025 ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models AAAI 2025 ResCLIP: Residual Attention for Training-free Dense Vision-language Inference CVPR 2025 Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context EMNLP 2025 ReSeeding Latent States for Sequential Language Understanding EMNLP 2025 ResidualViT for Efficient Temporally Dense Video Encoding ICCV 2025 ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis NAACL 2025 Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning ICCV 2025 Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting AAAI 2025 Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation CVPR 2025 Retention Score: Quantifying Jailbreak Risks for Vision Language Models AAAI 2025 Rethinking Backdoor Detection Evaluation for Language Models EMNLP 2025 Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting ICCV 2025 Rethinking High-speed Image Reconstruction Framework with Spike Camera AAAI 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation ICML 2025 Rethinking Light Decoder-based Solvers for Vehicle Routing Problems ICLR 2025 Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning AAAI 2025 Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning ICCV 2025