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)

Adversarially Robust Learning with Uncertain Perturbation Sets NeurIPS 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks CVPR 2023 Adversarially Robust PAC Learnability of Real-Valued Functions ICML 2023 Adversarial Multi-task Learning for End-to-end Metaphor Detection ACL 2023 Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks AISTATS 2023 Adversarial Parameter Attack on Deep Neural Networks ICML 2023 Adversarial Policies Beat Superhuman Go AIs ICML 2023 Adversarial Random Forests for Density Estimation and Generative Modeling AISTATS 2023 Adversarial Resilience in Sequential Prediction via Abstention NeurIPS 2023 Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness AAAI 2023 Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions EMNLP 2023 Adversarial Robustness in Discontinuous Spaces via Alternating Sampling & Descent WACV 2023 Adversarial robustness of amortized Bayesian inference ICML 2023 Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding ACL 2023 Adversarial robustness of VAEs through the lens of local geometry AISTATS 2023 Adversarial Robustness through Random Weight Sampling NeurIPS 2023 Adversarial Self-Attention for Language Understanding AAAI 2023 Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation NeurIPS 2023 Adversarial Text Generation by Search and Learning EMNLP 2023 Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directions NeurIPS 2023 Adversarial Training for Low-Resource Disfluency Correction ACL 2023 Adversarial Training from Mean Field Perspective NeurIPS 2023 Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks ICLR 2023 Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks AAAI 2023 AdvisIL - A Class-Incremental Learning Advisor WACV 2023