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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)

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach ICLR 2024 Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks AAAI 2024 Towards interfacing large language models with ASR systems using confidence measures and prompting Interspeech 2024 Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Towards Learning a Generalist Model for Embodied Navigation CVPR 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ICLR 2024 Towards Making Learnware Specification and Market Evolvable AAAI 2024 Towards Minimax Optimality of Model-based Robust Reinforcement Learning UAI 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024 Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks EMNLP 2024 Towards More Unified In-context Visual Understanding CVPR 2024 Towards Multi-Domain Learning for Generalizable Video Anomaly Detection NeurIPS 2024 Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport AAAI 2024 Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation ACL 2024 Towards Naturalistic Voice Conversion: NaturalVoices Dataset with an Automatic Processing Pipeline Interspeech 2024 Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models Interspeech 2024 Towards Objectively Benchmarking Social Intelligence of Language Agents at the Action Level ACL 2024 Towards One-to-Many Visual Question Answering EMNLP 2024 Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking NeurIPS 2024 Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels NeurIPS 2024 Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback ICLR 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024