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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)

Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards EMNLP 2024 Efficient Quantum Agnostic Improper Learning of Decision Trees AISTATS 2024 EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024 Efficient Reinforcement Learning by Discovering Neural Pathways NeurIPS 2024 Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems AISTATS 2024 Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications AAAI 2024 Efficient Scene Recovery Using Luminous Flux Prior CVPR 2024 Efficient Sequential Decision Making with Large Language Models EMNLP 2024 Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning AAAI 2024 Efficient Stitchable Task Adaptation CVPR 2024 Efficient Target Propagation by Deriving Analytical Solution AAAI 2024 Efficient Test-Time Adaptation of Vision-Language Models CVPR 2024 Efficient Unseen Language Adaptation for Multilingual Pre-Trained Language Models EMNLP 2024 Efficient Variational Sequential Information Control AISTATS 2024 Efficient Vision-Language Pre-training by Cluster Masking CVPR 2024 EffiLearner: Enhancing Efficiency of Generated Code via Self-Optimization NeurIPS 2024 EFFUSE: Efficient Self-Supervised Feature Fusion for E2E ASR in Low Resource and Multilingual Scenarios Interspeech 2024 EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World CVPR 2024 EgoGen: An Egocentric Synthetic Data Generator CVPR 2024 EGonc : Energy-based Open-Set Node Classification with substitute Unknowns NeurIPS 2024 e-Health CSIRO at RRG24: Entropy-Augmented Self-Critical Sequence Training for Radiology Report Generation ACL 2024 EH-MAM: Easy-to-Hard Masked Acoustic Modeling for Self-Supervised Speech Representation Learning EMNLP 2024 EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records EMNLP 2024 EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records NeurIPS 2024 EkoHate: Abusive Language and Hate Speech Detection for Code-switched Political Discussions on Nigerian Twitter NAACL 2024