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)

Papers per year

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1,314

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Papers (including subtopics)

Adversarially Robust Streaming Algorithms via Differential Privacy NeurIPS 2020 Adversarially robust transfer learning ICLR 2020 Adversarially Trained Multi-Singer Sequence-to-Sequence Singing Synthesizer Interspeech 2020 Adversarial Mutual Information for Text Generation ICML 2020 Adversarial Mutual Information Learning for Network Embedding IJCAI 2020 AdversarialNAS: Adversarial Neural Architecture Search for GANs CVPR 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020 Adversarial NLI: A New Benchmark for Natural Language Understanding ACL 2020 Adversarial Nonnegative Matrix Factorization ICML 2020 Adversarial Oracular Seq2seq Learning for Sequential Recommendation IJCAI 2020 Adversarial Risk Bounds through Sparsity based Compression AISTATS 2020 Adversarial Risk via Optimal Transport and Optimal Couplings ICML 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial Robustness for Code ICML 2020 Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020 Adversarial Robustness Guarantees for Classification with Gaussian Processes AISTATS 2020 Adversarial Robustness of Flow-Based Generative Models AISTATS 2020 Adversarial Robustness of Supervised Sparse Coding NeurIPS 2020 Adversarial robustness via robust low rank representations NeurIPS 2020 Adversarial Robustness via Runtime Masking and Cleansing ICML 2020 Adversarial Sampling for Active Learning WACV 2020 Adversarial Self-Supervised Contrastive Learning NeurIPS 2020 Adversarial Self-Supervised Data-Free Distillation for Text Classification EMNLP 2020 Adversarial Semantic Collisions EMNLP 2020 Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots EMNLP 2020