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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)

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models EMNLP 2024 ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving ICLR 2024 TOREE: Evaluating Topic Relevance of Student Essays for Chinese Primary and Middle School Education ACL 2024 Toward a Well-Calibrated Discrimination via Survival Outcome-Aware Contrastive Learning NeurIPS 2024 Toward Conditional Distribution Calibration in Survival Prediction NeurIPS 2024 Toward Efficient Inference for Mixture of Experts NeurIPS 2024 Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024 Toward More Generalized Malicious URL Detection Models AAAI 2024 Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning ECCV 2024 Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning NeurIPS 2024 Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024 Towards Accurate and Robust Architectures via Neural Architecture Search CVPR 2024 Towards Achieving Sub-linear Regret and Hard Constraint Violation in Model-free RL AISTATS 2024 Towards Aligning Language Models with Textual Feedback EMNLP 2024 Towards a More Burkean Approach to Computational Social Choice AAAI 2024 Towards a new Benchmark for Emotion Detection in NLP: A Unifying Framework of Recent Corpora EMNLP 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NeurIPS 2024 Towards a Perceptual Evaluation Framework for Lighting Estimation CVPR 2024 Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization IJCAI 2024 Towards a Resilient Intelligent Automation System IJCAI 2024 Towards a statistical theory of data selection under weak supervision ICLR 2024 Towards a theory of how the structure of language is acquired by deep neural networks NeurIPS 2024 Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning NAACL 2024 Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution NeurIPS 2024 Towards a Zero-Data, Controllable, Adaptive Dialog System COLING 2024