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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)

P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models ACL 2024 PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL EMNLP 2024 PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild CVPR 2024 PTPARL-V: Portuguese Parliamentary Debates for Voting Behaviour Study COLING 2024 PUB: A Pragmatics Understanding Benchmark for Assessing LLMs’ Pragmatics Capabilities ACL 2024 Puer at SemEval-2024 Task 2: A BioLinkBERT Approach to Biomedical Natural Language Inference SemEval 2024 Punny_Punctuators@DravidianLangTech-EACL2024: Transformer-based Approach for Detection and Classification of Fake News in Malayalam Social Media Text EACL 2024 PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness EMNLP 2024 Pure Exploration in Asynchronous Federated Bandits UAI 2024 Pure Exploration in Bandits with Linear Constraints AISTATS 2024 Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders ICML 2024 Pursuit of the Cluster Structure of Network Lasso: Recovery Condition and Non-convex Extension JMLR 2024 Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention AAAI 2024 Pushing the Limits of Zero-shot End-to-End Speech Translation ACL 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression NeurIPS 2024 QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos AAAI 2024 Q-Distribution guided Q-learning for offline reinforcement learning: Uncertainty penalized Q-value via consistency model NeurIPS 2024 QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation EMNLP 2024 QGFN: Controllable Greediness with Action Values NeurIPS 2024 QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NeurIPS 2024 QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification AAAI 2024 Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models CVPR 2024 QMixCAT: Unsupervised Speech Enhancement Using Quality-guided Signal Mixing and Competitive Alternating Model Training Interspeech 2024 Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024