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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)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation ACL 2024 Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs EMNLP 2024 Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation NAACL 2024 Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering EMNLP 2024 Evidence Retrieval is almost All You Need for Fact Verification ACL 2024 Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception CVPR 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 Evidential Uncertainty Quantification: A Variance-Based Perspective WACV 2024 EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations NeurIPS 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs ICML 2024 Evolutionary Contrastive Distillation for Language Model Alignment EMNLP 2024 Evolutionary Generalized Zero-Shot Learning IJCAI 2024 Evolution-Inspired Loss Functions for Protein Representation Learning ICML 2024 Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024 Evolving Knowledge Distillation with Large Language Models and Active Learning COLING 2024 Evolving Parameterized Prompt Memory for Continual Learning AAAI 2024 Ex2Eg-MAE: A Framework for Adaptation of Exocentric Video Masked Autoencoders for Egocentric Social Role Understanding ECCV 2024 Ex3: Automatic Novel Writing by Extracting, Excelsior and Expanding ACL 2024 Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families AAAI 2024 Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024 Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals NeurIPS 2024 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 Examining Temporalities on Stance Detection towards COVID-19 Vaccination COLING 2024 Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks ACL 2024