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Learning Types

56,254 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 (1,984) 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)

Improving the Transferability of Adversarial Samples by Path-Augmented Method CVPR 2023 Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles ACL 2023 Improving Training and Inference of Face Recognition Models via Random Temperature Scaling AAAI 2023 Improving training datasets for resource-constrained speaker recognition neural networks Interspeech 2023 Improving Transformer-based Program Repair Model through False Behavior Diagnosis EMNLP 2023 Improving Translation Quality Estimation with Bias Mitigation ACL 2023 Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis AAAI 2023 Improving Under-Resourced Code-Switched Speech Recognition: Large Pre-trained Models or Architectural Interventions Interspeech 2023 Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning EACL 2023 Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs EMNLP 2023 Improving Unsupervised Visual Program Inference with Code Rewriting Families ICCV 2023 Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations CVPR 2023 Improving Visual Representation Learning Through Perceptual Understanding CVPR 2023 Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels CVPR 2023 Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion Interspeech 2023 Improving Zero-Shot Generalization and Robustness of Multi-Modal Models CVPR 2023 Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization ACL 2023 Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering EMNLP 2023 IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning EMNLP 2023 INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent EMNLP 2023 In and Out-of-Domain Text Adversarial Robustness via Label Smoothing ACL 2023 INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion EMNLP 2023 IncDSI: Incrementally Updatable Document Retrieval ICML 2023 Incentive-aware Contextual Pricing with Non-parametric Market Noise AISTATS 2023 Incentivizing Exploration with Linear Contexts and Combinatorial Actions ICML 2023