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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)

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking CVPR 2024 DiffVC+: Improving Diffusion-based Voice Conversion for Speaker Anonymization Interspeech 2024 DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph AAAI 2024 DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NeurIPS 2024 Digital Avatars: Framework Development and Their Evaluation IJCAI 2024 DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data ACL 2024 DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency CVPR 2024 DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model NeurIPS 2024 DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference ACL 2024 DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation AAAI 2024 DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness Interspeech 2024 DIOD: Self-Distillation Meets Object Discovery CVPR 2024 DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection NeurIPS 2024 DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models NeurIPS 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation ACL 2024 Direct May Not Be the Best: An Incremental Evolution View of Pose Generation AAAI 2024 Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization ACL 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding NAACL 2024 Direct Preference Optimization with an Offset ACL 2024 Direct Unlearning Optimization for Robust and Safe Text-to-Image Models NeurIPS 2024 Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning ICLR 2024 Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024 Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024