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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss (Student Abstract) AAAI 2024 Enhanced Facet Generation with LLM Editing COLING 2024 Enhanced Financial Sentiment Analysis and Trading Strategy Development Using Large Language Models ACL 2024 Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis AAAI 2024 Enhanced Language Model Truthfulness with Learnable Intervention and Uncertainty Expression ACL 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024 Enhanced Reverberation as Supervision for Unsupervised Speech Separation Interspeech 2024 Enhance Robustness of Language Models against Variation Attack through Graph Integration COLING 2024 Enhancing adversarial robustness in Natural Language Inference using explanations EMNLP 2024 Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning ACML 2024 Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024 Enhancing Chess Reinforcement Learning with Graph Representation NeurIPS 2024 Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024 Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples ACL 2024 Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination NeurIPS 2024 Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding NAACL 2024 Enhancing Continual Learning in Visual Question Answering with Modality-Aware Feature Distillation ACL 2024 Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024 Enhancing Cross-modal Completion and Alignment for Unsupervised Incomplete Text-to-Image Person Retrieval IJCAI 2024 Enhancing Cross Text-Molecule Learning by Self-Augmentation ACL 2024 Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training COLING 2024 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Enhancing Domain Adaptation through Prompt Gradient Alignment NeurIPS 2024 Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation Interspeech 2024 Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder ACL 2024