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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)

Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NeurIPS 2022 Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus NeurIPS 2022 Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NeurIPS 2022 Provably Robust Adversarial Examples ICLR 2022 Provably sample-efficient RL with side information about latent dynamics NeurIPS 2022 Proving Theorems using Incremental Learning and Hindsight Experience Replay ICML 2022 Proximal Learning With Opponent-Learning Awareness NeurIPS 2022 Proximity Enhanced Graph Neural Networks with Channel Contrast IJCAI 2022 Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval EMNLP 2022 Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models AAAI 2022 Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks AAAI 2022 Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization ICLR 2022 Pseudo Label Is Better Than Human Label Interspeech 2022 Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding CVPR 2022 PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population EMNLP 2022 PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling COLING 2022 Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning ACL 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022 PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents CVPR 2022 PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022 PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors CVPR 2022 PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation AAAI 2022 Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images ICML 2022 Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States COLT 2022 Pushing the limits of raw waveform speaker recognition Interspeech 2022