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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)

Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving AAAI 2024 Discriminator-Free Unsupervised Domain Adaptation for Multi-Label Image Classification WACV 2024 Discriminator Guidance for Autoregressive Diffusion Models AISTATS 2024 Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization ICML 2024 Disentangled Learning with Synthetic Parallel Data for Text Style Transfer ACL 2024 Disentangled Partial Label Learning AAAI 2024 Disentangled Pre-training for Human-Object Interaction Detection CVPR 2024 Disentangled Pre-Training for Image Matting WACV 2024 Disentangled Representation Learning in Non-Markovian Causal Systems NeurIPS 2024 Disentangled Style Domain for Implicit z-Watermark Towards Copyright Protection NeurIPS 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Disentangling and mitigating the impact of task similarity for continual learning NeurIPS 2024 Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness ACL 2024 Disentangling Domain and General Representations for Time Series Classification IJCAI 2024 Disentangling Length from Quality in Direct Preference Optimization ACL 2024 Disentangling Linear Quadratic Control with Untrusted ML Predictions NeurIPS 2024 Disentangling Questions from Query Generation for Task-Adaptive Retrieval EMNLP 2024 Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference ICLR 2024 Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction ACL 2024 Disrupting Diffusion-based Inpainters with Semantic Digression IJCAI 2024 Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training MIDL 2024 Dissect Black Box: Interpreting for Rule-Based Explanations in Unsupervised Anomaly Detection NeurIPS 2024 Dissecting Fine-Tuning Unlearning in Large Language Models EMNLP 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024 Dissimilarity Bandits AISTATS 2024