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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)

Towards Omnimodal Expressions and Reasoning in Referring Audio-Visual Segmentation ICCV 2025 Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications ACL 2025 Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions WACV 2025 Towards Open Foundation Language Model and Corpus for Macedonian: A Low-Resource Language ACL 2025 Towards Open-Vocabulary Remote Sensing Image Semantic Segmentation AAAI 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025 Towards Personalised Audio Visual Speech Enhancement Interspeech 2025 Towards Privacy-Preserving Split Learning for ControlNet WACV 2025 Towards Real Unsupervised Anomaly Detection Via Confident Meta-Learning ICCV 2025 Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification ICCV 2025 Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning IJCAI 2025 Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models AAAI 2025 Towards Robust Overlapping Speech Detection: A Speaker-Aware Progressive Approach Using WavLM Interspeech 2025 Towards Robust Sentiment Analysis of Temporally-Sensitive Policy-Related Online Text ACL 2025 Towards Robust Speaker Recognition against Intrinsic Variation with Foundation Model Few-shot Tuning and Effective Speech Synthesis Interspeech 2025 Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution ACL 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline AAAI 2025 Towards Smart Point-and-Shoot Photography CVPR 2025 Towards the Causal Complete Cause of Multi-Modal Representation Learning ICML 2025 Towards the Law of Capacity Gap in Distilling Language Models ACL 2025 Towards Understanding Parametric Generalized Category Discovery on Graphs ICML 2025 Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization ICLR 2025 Towards Universal AI-Generated Image Detection by Variational Information Bottleneck Network CVPR 2025 Towards Universal Rainy Image Restoration: Benchmark and Baseline AAAI 2025