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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)

AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023 A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems EMNLP 2023 A Faster Practical Approximation Scheme for the Permanent AAAI 2023 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 Affective and Dynamic Beam Search for Story Generation EMNLP 2023 A fine-grained comparison of pragmatic language understanding in humans and language models ACL 2023 A Finite Sample Complexity Bound for Distributionally Robust Q-learning AISTATS 2023 A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023 A Framework and Benchmark for Deep Batch Active Learning for Regression JMLR 2023 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023 AfriQA: Cross-lingual Open-Retrieval Question Answering for African Languages EMNLP 2023 A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check EMNLP 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion CVPR 2023 A GAN Speech Inpainting Model for Audio Editing Software Interspeech 2023 A General Framework for Robust G-Invariance in G-Equivariant Networks NeurIPS 2023 A Generalized Deep Markov Random Fields Framework for Fake News Detection IJCAI 2023 A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning AAAI 2023 A generative model of the hippocampal formation trained with theta driven local learning rules NeurIPS 2023 Aggregating Bilateral Attention for Few-Shot Instance Localization WACV 2023 Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring ACL 2023 A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023 Agile Modeling: From Concept to Classifier in Minutes ICCV 2023 Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors NeurIPS 2023 Agnostic Multi-Group Active Learning NeurIPS 2023