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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)

Contrastive Transformer Cross-Modal Hashing for Video-Text Retrieval IJCAI 2024 Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024 Contrastive Viewpoint-Aware Shape Learning for Long-Term Person Re-Identification WACV 2024 ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation EMNLP 2024 Controllable Citation Sentence Generation with Language Models ACL 2024 Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation ACL 2024 Controlled maximal variability along with reliable performance in recurrent neural networks NeurIPS 2024 Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor ACL 2024 Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework EMNLP 2024 ControlMath: Controllable Data Generation Promotes Math Generalist Models EMNLP 2024 ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models NeurIPS 2024 ControlRoom3D: Room Generation using Semantic Proxy Rooms CVPR 2024 ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees EMNLP 2024 Convolutional Prompting meets Language Models for Continual Learning CVPR 2024 ConVQG: Contrastive Visual Question Generation with Multimodal Guidance AAAI 2024 Co-occurrence is not Factual Association in Language Models NeurIPS 2024 Cooperation Does Matter: Exploring Multi-Order Bilateral Relations for Audio-Visual Segmentation CVPR 2024 Cooperative Meta-Learning with Gradient Augmentation UAI 2024 COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL ICLR 2024 CoPL: Contextual Prompt Learning for Vision-Language Understanding AAAI 2024 CORE-MPI: Consistency Object Removal with Embedding MultiPlane Image CVPR 2024 Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities CVPR 2024 CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation CVPR 2024 CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles ACL 2024 CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection CVPR 2024