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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)

DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024 DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting CVPR 2024 DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification WACV 2024 DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut NeurIPS 2024 Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models NeurIPS 2024 Differentiable Information Bottleneck for Deterministic Multi-view Clustering CVPR 2024 Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation UAI 2024 Differentiable Rendering with Reparameterized Volume Sampling AISTATS 2024 Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos NeurIPS 2024 Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing ACML 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Differentially private methods for managing model uncertainty in linear regression JMLR 2024 Differentially Private No-regret Exploration in Adversarial Markov Decision Processes UAI 2024 Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 Different Tastes of Entities: Investigating Human Label Variation in Named Entity Annotations EACL 2024 DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification NeurIPS 2024 Difficult for Whom? A Study of Japanese Lexical Complexity EMNLP 2024 Difficulty-Focused Contrastive Learning for Knowledge Tracing with a Large Language Model-Based Difficulty Prediction COLING 2024 DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement CVPR 2024 DiffMOT: A Real-time Diffusion-based Multiple Object Tracker with Non-linear Prediction CVPR 2024 DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation NeurIPS 2024 DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion NeurIPS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 DiffPO: A causal diffusion model for learning distributions of potential outcomes NeurIPS 2024