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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)

Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks NAACL 2024 Query-Guided Attention in Vision Transformers for Localizing Objects Using a Single Sketch WACV 2024 Querying Easily Flip-flopped Samples for Deep Active Learning ICLR 2024 Query-Policy Misalignment in Preference-Based Reinforcement Learning ICLR 2024 Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024 Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024 Question Aware Vision Transformer for Multimodal Reasoning CVPR 2024 Questioning the Survey Responses of Large Language Models NeurIPS 2024 Question-Instructed Visual Descriptions for Zero-Shot Video Answering ACL 2024 Question Translation Training for Better Multilingual Reasoning ACL 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NeurIPS 2024 QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NeurIPS 2024 Queueing Matching Bandits with Preference Feedback NeurIPS 2024 Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos CVPR 2024 Quilt: Robust Data Segment Selection against Concept Drifts AAAI 2024 QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis EMNLP 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation EMNLP 2024 R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation IJCAI 2024 R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion AAAI 2024 RA2FD: Distilling Faithfulness into Efficient Dialogue Systems EMNLP 2024 R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model ECCV 2024 Racing Control Variable Genetic Programming for Symbolic Regression AAAI 2024 RA-DIT: Retrieval-Augmented Dual Instruction Tuning ICLR 2024 RaFe: Ranking Feedback Improves Query Rewriting for RAG EMNLP 2024