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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)

On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models JMLR 2024 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval AAAI 2024 Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NeurIPS 2024 On Computationally Efficient Multi-Class Calibration COLT 2024 On conditional diffusion models for PDE simulations NeurIPS 2024 On Convex Optimization with Semi-Sensitive Features COLT 2024 On Differentially Private Federated Linear Contextual Bandits ICLR 2024 On Diffusion Modeling for Anomaly Detection ICLR 2024 On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning AAAI 2024 On Divergence Measures for Training GFlowNets NeurIPS 2024 On Diversified Preferences of Large Language Model Alignment EMNLP 2024 On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression JMLR 2024 One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024 On Efficient and Statistical Quality Estimation for Data Annotation ACL 2024 One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection NeurIPS 2024 One-Layer Transformer Provably Learns One-Nearest Neighbor In Context NeurIPS 2024 On Eliciting Syntax from Language Models via Hashing EMNLP 2024 One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks EMNLP 2024 One-Prompt to Segment All Medical Images CVPR 2024 One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models CVPR 2024 One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems AAAI 2024 One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models ICLR 2024 One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation RSS 2024 One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits UAI 2024 One-Shot Learning as Instruction Data Prospector for Large Language Models ACL 2024