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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)

Robust NAS under adversarial training: benchmark, theory, and beyond ICLR 2024 Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning AAAI 2024 Robustness Verification of Multi-Class Tree Ensembles AAAI 2024 Robust Neural Contextual Bandit against Adversarial Corruptions NeurIPS 2024 Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024 Robust Noisy Correspondence Learning with Equivariant Similarity Consistency CVPR 2024 Robust Non-linear Normalization of Heterogeneous Feature Distributions with Adaptive Tanh-Estimators AISTATS 2024 Robust Nonparametric Regression under Poisoning Attack AAAI 2024 Robust Object Detection in Challenging Weather Conditions WACV 2024 Robust Offline Active Learning on Graphs NeurIPS 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM CVPR 2024 Robust Policy Learning via Offline Skill Diffusion AAAI 2024 Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks NeurIPS 2024 Robust Reinforcement Learning with General Utility NeurIPS 2024 Robust Safety Classifier Against Jailbreaking Attacks: Adversarial Prompt Shield NAACL 2024 RobustSAM: Segment Anything Robustly on Degraded Images CVPR 2024 RobustSentEmbed: Robust Sentence Embeddings Using Adversarial Self-Supervised Contrastive Learning NAACL 2024 Robust Singing Voice Transcription Serves Synthesis ACL 2024 Robust Sleep Staging over Incomplete Multimodal Physiological Signals via Contrastive Imagination NeurIPS 2024 Robust Test-Time Adaptation for Zero-Shot Prompt Tuning AAAI 2024 Robust Text Classification: Analyzing Prototype-Based Networks EMNLP 2024 Robust Training of Federated Models with Extremely Label Deficiency ICLR 2024 Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024 Robust Unsupervised Domain Adaptation Through Negative-View Regularization WACV 2024