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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)

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling AAAI 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Tool Retrieval with Iterative Feedback from Large Language Models EMNLP 2024 Enhancing Training of Spiking Neural Network with Stochastic Latency AAAI 2024 Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction ICML 2024 Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract) AAAI 2024 Enhancing Turkish Word Segmentation: A Focus on Borrowed Words and Invalid Morpheme ACL 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024 Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models CVPR 2024 Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models Interspeech 2024 Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic COLING 2024 Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations AAAI 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition Interspeech 2024 Ensemble-based Multilingual Euphemism Detection: a Behavior-Guided Approach NAACL 2024 Ensemble Diversity Facilitates Adversarial Transferability CVPR 2024 Ensemble sampling for linear bandits: small ensembles suffice NeurIPS 2024 Entity Alignment with Noisy Annotations from Large Language Models NeurIPS 2024 Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia EMNLP 2024 Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models EACL 2024 Entity or Relation Embeddings? An Analysis of Encoding Strategies for Relation Extraction EMNLP 2024