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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)

Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning ACML 2024 PiShield: A PyTorch Package for Learning with Requirements IJCAI 2024 Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations AISTATS 2024 Pixology: Probing the Linguistic and Visual Capabilities of Pixel-based Language Models EMNLP 2024 PixT3: Pixel-based Table-To-Text Generation ACL 2024 PizzaCommonSense: A Dataset for Commonsense Reasoning about Intermediate Steps in Cooking Recipes EMNLP 2024 PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks EMNLP 2024 PLACE: Adaptive Layout-Semantic Fusion for Semantic Image Synthesis CVPR 2024 PLAES: Prompt-generalized and Level-aware Learning Framework for Cross-prompt Automated Essay Scoring COLING 2024 Plan, Generate and Complicate: Improving Low-resource Dialogue State Tracking via Easy-to-Difficult Zero-shot Data Augmentation ACL 2024 Planning and Editing What You Retrieve for Enhanced Tool Learning NAACL 2024 Plan-Seq-Learn: Language Model Guided RL for Solving Long Horizon Robotics Tasks ICLR 2024 Plasticity-Optimized Complementary Networks for Unsupervised Continual Learning WACV 2024 Platform-Invariant Topic Modeling via Contrastive Learning to Mitigate Platform-Induced Bias EMNLP 2024 Plausible Extractive Rationalization through Semi-Supervised Entailment Signal ACL 2024 Plausibly Problematic Questions in Multiple-Choice Benchmarks for Commonsense Reasoning EMNLP 2024 PLIP: Language-Image Pre-training for Person Representation Learning NeurIPS 2024 Plug and Play Active Learning for Object Detection CVPR 2024 Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents ICLR 2024 Plug-and-Play Unsupervised Fault Detection and Diagnosis for Complex Industrial Monitoring IJCAI 2024 Plug-In Diffusion Model for Sequential Recommendation AAAI 2024 PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning ACL 2024 Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking across Diverse Vocabularies EMNLP 2024 PMAC: Personalized Multi-Agent Communication AAAI 2024