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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)

AUC Optimization from Multiple Unlabeled Datasets AAAI 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Audio-Based Linguistic Feature Extraction for Enhancing Multi-lingual and Low-Resource Text-to-Speech EMNLP 2024 Audiocite.net : A Large Spoken Read Dataset in French COLING 2024 Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data Interspeech 2024 Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations Interspeech 2024 Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification AAAI 2024 Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation Interspeech 2024 Audio-Visual Segmentation via Unlabeled Frame Exploitation CVPR 2024 Auditing Local Explanations is Hard NeurIPS 2024 Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models WACV 2024 A Unified and General Framework for Continual Learning ICLR 2024 A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals CVPR 2024 A Unified Framework for 3D Scene Understanding NeurIPS 2024 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 A Unified Framework for Discovering Discrete Symmetries AISTATS 2024 A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning CVPR 2024 A Unified Knowledge Transfer Network for Generalized Category Discovery AAAI 2024 A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities AAAI 2024 A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems NeurIPS 2024 A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024 AuriSRec: Adversarial User Intention Learning in Sequential Recommendation EMNLP 2024 A User-Centric Multi-Intent Benchmark for Evaluating Large Language Models EMNLP 2024 A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis AAAI 2024