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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)

An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks AAAI 2023 Angelic Patches for Improving Third-Party Object Detector Performance CVPR 2023 AniEE: A Dataset of Animal Experimental Literature for Event Extraction EMNLP 2023 An Image Quality Assessment Dataset for Portraits CVPR 2023 An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits NeurIPS 2023 An Information-Theoretic Analysis of Nonstationary Bandit Learning ICML 2023 An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech Interspeech 2023 An Information Theory Perspective on Variance-Invariance-Covariance Regularization NeurIPS 2023 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums EMNLP 2023 An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning ICML 2023 An Investigation of Noise in Morphological Inflection ACL 2023 An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding Interspeech 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection CVPR 2023 Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation IJCAI 2023 Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization ACL 2023 Annotating and Training for Population Subjective Views ACL 2023 Annotating Decomposition in Time: Three Approaches for Again ACL 2023 Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution ACL 2023 Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation ACL 2023 Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding EMNLP 2023 Annotation Sensitivity: Training Data Collection Methods Affect Model Performance EMNLP 2023 Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation NeurIPS 2023 A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023 A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification IJCAI 2023