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)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021 Adversarial Reinforcement Learning for Unsupervised Domain Adaptation WACV 2021 Adversarial Reweighting for Partial Domain Adaptation NeurIPS 2021 Adversarial Robustness Across Representation Spaces CVPR 2021 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 Adversarial Robustness Guarantees for Random Deep Neural Networks ICML 2021 Adversarial Robustness of Streaming Algorithms through Importance Sampling NeurIPS 2021 Adversarial Robustness through Disentangled Representations AAAI 2021 Adversarial Robustness Under Long-Tailed Distribution CVPR 2021 Adversarial Robustness with Non-uniform Perturbations NeurIPS 2021 Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach NeurIPS 2021 Adversarial Robustness with Semi-Infinite Constrained Learning NeurIPS 2021 Adversarial Scrubbing of Demographic Information for Text Classification EMNLP 2021 Adversarial Self-Supervised Learning for Out-of-Domain Detection NAACL 2021 Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization CoRL 2021 Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021 Adversarial Stylometry in the Wild: Transferable Lexical Substitution Attacks on Author Profiling EACL 2021 Adversarial Teacher-Student Representation Learning for Domain Generalization NeurIPS 2021 Adversarial Training and Provable Robustness: A Tale of Two Objectives AAAI 2021 Adversarial Training for Machine Reading Comprehension with Virtual Embeddings ACL 2021 Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus. EACL 2021 Adversarial Training Helps Transfer Learning via Better Representations NeurIPS 2021 Adversarial Training Reduces Information and Improves Transferability AAAI 2021 Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021 Adversarial Turing Patterns from Cellular Automata AAAI 2021