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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26

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149

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526

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477

660

1,314

2,083

3,689

4,652

5,914

6,826

8,201

8,755

9,258

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2000

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Papers (including subtopics)

Active2 Learning: Actively reducing redundancies in Active Learning methods for Sequence Tagging and Machine Translation NAACL 2021 Active 3D Shape Reconstruction from Vision and Touch NeurIPS 2021 ActiveAnno: General-Purpose Document-Level Annotation Tool with Active Learning Integration NAACL 2021 Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NeurIPS 2021 Active Bayesian Assessment of Black-Box Classifiers AAAI 2021 Active clustering for labeling training data NeurIPS 2021 Active Contrastive Learning of Audio-Visual Video Representations ICLR 2021 Active Covering ICML 2021 Active Curriculum Learning ACL 2021 Active Deep Probabilistic Subsampling ICML 2021 Active Domain Adaptation via Clustering Uncertainty-Weighted Embeddings ICCV 2021 ActiveEA: Active Learning for Neural Entity Alignment EMNLP 2021 Active Feature Acquisition with Generative Surrogate Models ICML 2021 Active Feature Selection for the Mutual Information Criterion AAAI 2021 Active learning and negative evidence for language identification NAACL 2021 Active Learning by Acquiring Contrastive Examples EMNLP 2021 Active Learning for Argument Strength Estimation EMNLP 2021 Active Learning for Bayesian 3D Hand Pose Estimation WACV 2021 Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Active Learning for Lane Detection: A Knowledge Distillation Approach ICCV 2021 Active Learning for Rumor Identification on Social Media EMNLP 2021 Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates EACL 2021 Active Learning of Abstract Plan Feasibility RSS 2021 Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021