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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)

Experimenting with Additive Margins for Contrastive Self-Supervised Speaker Verification Interspeech 2023 Expert Data Augmentation in Imitation Learning (Student Abstract) AAAI 2023 Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023 Explainability-Aware One Point Attack for Point Cloud Neural Networks WACV 2023 Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective ICCV 2023 Explaining the effects of non-convergent MCMC in the training of Energy-Based Models ICML 2023 Explain-then-translate: an analysis on improving program translation with self-generated explanations EMNLP 2023 Explanation-based Finetuning Makes Models More Robust to Spurious Cues ACL 2023 Explanation Graph Generation via Generative Pre-training over Synthetic Graphs ACL 2023 Explanation Selection Using Unlabeled Data for Chain-of-Thought Prompting EMNLP 2023 Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection CVPR 2023 Explicit Intensity Control for Accented Text-to-speech Interspeech 2023 Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023 Exploiting Cross-Domain And Cross-Lingual Ultrasound Tongue Imaging Features For Elderly And Dysarthric Speech Recognition Interspeech 2023 Exploiting Diversity of Automatic Transcripts from Distinct Speech Recognition Techniques for Children’s Speech Interspeech 2023 Exploiting Emotion Information in Speaker Embeddings for Expressive Text-to-Speech Interspeech 2023 Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition ACL 2023 Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract) AAAI 2023 Exploiting Inferential Structure in Neural Processes UAI 2023 Exploiting Instance-Based Mixed Sampling via Auxiliary Source Domain Supervision for Domain-Adaptive Action Detection WACV 2023 Exploiting Rich Textual User-Product Context for Improving Personalized Sentiment Analysis ACL 2023 Exploiting Visual Context Semantics for Sound Source Localization WACV 2023 Exploration in Linear Bandits with Rich Action Sets and its Implications for Inference AISTATS 2023 Exploration in Reward Machines with Low Regret AISTATS 2023 Exploration of Contrastive Learning Strategies toward more Robust Stance Detection ACL 2023