conftrace_

Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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 Encodings: A Framework for Combating Adversarial Typos ACL 2020 Robust Facial Landmark Detection via Aggregation on Geometrically Manipulated Faces WACV 2020 Robust Federated Learning via Collaborative Machine Teaching AAAI 2020 Robust Gradient-Based Markov Subsampling AAAI 2020 Robust high dimensional learning for Lipschitz and convex losses JMLR 2020 Robustifying Sequential Neural Processes ICML 2020 Robust Learning-Based Control via Bootstrapped Multiplicative Noise L4DC 2020 Robust Learning from Discriminative Feature Feedback AISTATS 2020 Robust Learning Through Cross-Task Consistency CVPR 2020 Robust Local Features for Improving the Generalization of Adversarial Training ICLR 2020 Robust Market Equilibria with Uncertain Preferences AAAI 2020 Robust Market Making via Adversarial Reinforcement Learning IJCAI 2020 Robust Meta-learning for Mixed Linear Regression with Small Batches NeurIPS 2020 Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation AAAI 2020 Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020 Robustness Guarantees for Deep Neural Networks on Videos CVPR 2020 Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact IJCAI 2020 Robustness of Bayesian Neural Networks to Gradient-Based Attacks NeurIPS 2020 Robustness to Modification with Shared Words in Paraphrase Identification EMNLP 2020 Robustness to Programmable String Transformations via Augmented Abstract Training ICML 2020 Robust Online Model Adaptation by Extended Kalman Filter with Exponential Moving Average and Dynamic Multi-Epoch Strategy L4DC 2020 Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation NeurIPS 2020 Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization IJCAI 2020 Robust Pre-Training by Adversarial Contrastive Learning NeurIPS 2020 Robust Regression for Safe Exploration in Control L4DC 2020