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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)

DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation COLING 2024 DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation NeurIPS 2024 DAFA: Distance-Aware Fair Adversarial Training ICLR 2024 DAG-Aware Variational Autoencoder for Social Propagation Graph Generation AAAI 2024 DAG-Based Column Generation for Adversarial Team Games ICML 2024 DAGER: Exact Gradient Inversion for Large Language Models NeurIPS 2024 DAG-Informed Structure Learning from Multi-Dimensional Point Processes JMLR 2024 Daily auditory environments in French-speaking infants: A longitudinal dataset ACL 2024 Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress ACL 2024 DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models Interspeech 2024 DALD: Improving Logits-based Detector without Logits from Black-box LLMs NeurIPS 2024 DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning AAAI 2024 DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024 DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting AAAI 2024 Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models EMNLP 2024 Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement CVPR 2024 DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning AAAI 2024 DAP: A Dynamic Adversarial Patch for Evading Person Detectors CVPR 2024 DarkFed: A Data-Free Backdoor Attack in Federated Learning IJCAI 2024 DarkSAM: Fooling Segment Anything Model to Segment Nothing NeurIPS 2024 DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation AAAI 2024 DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA NeurIPS 2024 DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving NeurIPS 2024 DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity NeurIPS 2024 Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification AAAI 2024