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

1

8

12

26

18

20

135

136

147

149

220

231

316

526

460

477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

2,019

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation ICLR 2019 Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild ICCV 2019 Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction CVPR 2019 Overcoming the Rare Word Problem for low-resource language pairs in Neural Machine Translation EMNLP 2019 P3O: Policy-on Policy-off Policy Optimization UAI 2019 PAC Battling Bandits in the Plackett-Luce Model ALT 2019 pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference NAACL 2019 Parallelizable Stack Long Short-Term Memory NAACL 2019 Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators IJCAI 2019 Parametric Majorization for Data-Driven Energy Minimization Methods ICCV 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Paraphrase Diversification Using Counterfactual Debiasing AAAI 2019 Paraphrase Generation for Semi-Supervised Learning in NLU NAACL 2019 Paraphrases as Foreign Languages in Multilingual Neural Machine Translation ACL 2019 PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space EMNLP 2019 Pareto Multi-Task Learning NeurIPS 2019 Pareto Optimal Allocation under Compact Uncertain Preferences AAAI 2019 Pareto Optimal Streaming Unsupervised Classification ICML 2019 Park: An Open Platform for Learning-Augmented Computer Systems NeurIPS 2019 PARN: Position-Aware Relation Networks for Few-Shot Learning ICCV 2019 Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization ICML 2019 Parsimonious Online Learning with Kernels via Sparse Projections in Function Space JMLR 2019 Partial Label Learning by Semantic Difference Maximization IJCAI 2019 Partial Label Learning via Label Enhancement AAAI 2019 Partial Label Learning with Self-Guided Retraining AAAI 2019