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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)

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships CVPR 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning CVPR 2024 Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 TaskBench: Benchmarking Large Language Models for Task Automation NeurIPS 2024 Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning CVPR 2024 Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings NeurIPS 2024 Task Contamination: Language Models May Not Be Few-Shot Anymore AAAI 2024 Task-Customized Mixture of Adapters for General Image Fusion CVPR 2024 Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection CVPR 2024 Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024 Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster AAAI 2024 Task-Free Dynamic Sparse Vision Transformer for Continual Learning AAAI 2024 Task-oriented Time Series Imputation Evaluation via Generalized Representers NeurIPS 2024 Task Planning for Object Rearrangement in Multi-Room Environments AAAI 2024 Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NeurIPS 2024 TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation ACL 2024 TAU: Trajectory Data Augmentation with Uncertainty for Next POI Recommendation AAAI 2024 Taxonomy Driven Fast Adversarial Training AAAI 2024 TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model CVPR 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control EMNLP 2024 TDeLTA: A Light-Weight and Robust Table Detection Method Based on Learning Text Arrangement AAAI 2024 Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NeurIPS 2024 Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios ACL 2024