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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)

CountGD: Multi-Modal Open-World Counting NeurIPS 2024 Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild AAAI 2024 Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024 Coupled Mamba: Enhanced Multimodal Fusion with Coupled State Space Model NeurIPS 2024 Cousins Of The Vendi Score: A Family Of Similarity-Based Diversity Metrics For Science And Machine Learning AISTATS 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024 CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024 Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation ICML 2024 CoVR: Learning Composed Video Retrieval from Web Video Captions AAAI 2024 cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers NeurIPS 2024 CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language Alignment CVPR 2024 CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024 Crafting Personalized Agents through Retrieval-Augmented Generation on Editable Memory Graphs EMNLP 2024 CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024 CreakVC: a voice conversion tool for modulating creaky voice Interspeech 2024 Create! Don’t Repeat: A Paradigm Shift in Multi-Label Augmentation through Label Creative Generation NAACL 2024 Creative and Context-Aware Translation of East Asian Idioms with GPT-4 EMNLP 2024 Credal Deep Ensembles for Uncertainty Quantification NeurIPS 2024 Credal Learning Theory NeurIPS 2024 Credit Attribution and Stable Compression NeurIPS 2024 CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping ICLR 2024 Crisis counselor language and perceived genuine concern in crisis conversations EMNLP 2024 Critical Gap Between Generalization Error and Empirical Error in Active Learning WACV 2024 Critical Learning Periods Emerge Even in Deep Linear Networks ICLR 2024