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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)

Continual Learning in an Open and Dynamic World AAAI 2024 Continual Learning in the Frequency Domain NeurIPS 2024 Continual Learning of Unsupervised Monocular Depth From Videos WACV 2024 Continual Learning with Global Alignment NeurIPS 2024 Continual learning with the neural tangent ensemble NeurIPS 2024 Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation CVPR 2024 Continual Multimodal Knowledge Graph Construction IJCAI 2024 Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech EMNLP 2024 Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition NeurIPS 2024 Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World CVPR 2024 Continuous Pose for Monocular Cameras in Neural Implicit Representation CVPR 2024 Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding CVPR 2024 Contrasting Multiple Representations with the Multi-Marginal Matching Gap ICML 2024 Contrasting with Symile: Simple Model-Agnostic Representation Learning for Unlimited Modalities NeurIPS 2024 Contrastive and View-Interaction Structure Learning for Multi-view Clustering IJCAI 2024 Contrastive Credibility Propagation for Reliable Semi-supervised Learning AAAI 2024 Contrastive Entity Coreference and Disambiguation for Historical Texts EMNLP 2024 Contrastive Instruction Tuning ACL 2024 Contrastive Learning for Clinical Outcome Prediction with Partial Data Sources ICML 2024 Contrastive Learning for Low-Light Raw Denoising (Student Abstract) AAAI 2024 Contrastive Mean-Shift Learning for Generalized Category Discovery CVPR 2024 Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion EMNLP 2024 Contrastive Pre-Training with Multi-View Fusion for No-Reference Point Cloud Quality Assessment CVPR 2024 Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training ECCV 2024 Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation EMNLP 2024