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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)

Disambiguate Words like Composing Them: A Morphology-Informed Approach to Enhance Chinese Word Sense Disambiguation ACL 2024 Discerning Temporal Difference Learning AAAI 2024 DisCo: Disentangled Control for Realistic Human Dance Generation CVPR 2024 DISCount: Counting in Large Image Collections with Detector-Based Importance Sampling AAAI 2024 Discounted Adaptive Online Learning: Towards Better Regularization ICML 2024 Discourse Relation Prediction and Discourse Parsing in Dialogues with Minimal Supervision EACL 2024 Discover and Mitigate Multiple Biased Subgroups in Image Classifiers CVPR 2024 Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024 Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration NeurIPS 2024 Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search ICLR 2024 Discovering Heterogeneous Causal Effects in Relational Data AAAI 2024 Discovering plasticity rules that organize and maintain neural circuits NeurIPS 2024 Discovering Preference Optimization Algorithms with and for Large Language Models NeurIPS 2024 Discovering Robotic Interaction Modes with Discrete Representation Learning CoRL 2024 Discovering Sequential Patterns with Predictable Inter-event Delays AAAI 2024 Discovering Syntactic Interaction Clues for Human-Object Interaction Detection CVPR 2024 Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition AAAI 2024 Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching AAAI 2024 Discrete Dictionary-based Decomposition Layer for Structured Representation Learning NeurIPS 2024 Discrete Probabilistic Inference as Control in Multi-path Environments UAI 2024 DiscreteSLU: A Large Language Model with Self-Supervised Discrete Speech Units for Spoken Language Understanding Interspeech 2024 Discrete-state Continuous-time Diffusion for Graph Generation NeurIPS 2024 Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024 Discriminability-Driven Channel Selection for Out-of-Distribution Detection CVPR 2024 Discriminant Distance-Aware Representation on Deterministic Uncertainty Quantification Methods AISTATS 2024