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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3,689

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Papers (including subtopics)

Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort COLING 2018 Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages ACL 2018 Low-Shot Learning From Imaginary Data CVPR 2018 Low-shot Learning via Covariance-Preserving Adversarial Augmentation Networks NeurIPS 2018 Low-Shot Learning With Imprinted Weights CVPR 2018 Low-Shot Learning With Large-Scale Diffusion CVPR 2018 LSTM Networks for Online Cross-Network Recommendations IJCAI 2018 LT3 at SemEval-2018 Task 1: A classifier chain to detect emotions in tweets SemEval 2018 Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits ICML 2018 Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research JMLR 2018 Making Classifier Chains Resilient to Class Imbalance ACML 2018 Mapping natural language commands to web elements EMNLP 2018 Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction CoRL 2018 Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets EMNLP 2018 Marginal Singularity, and the Benefits of Labels in Covariate-Shift COLT 2018 Marian: Fast Neural Machine Translation in C++ ACL 2018 Masking: A New Perspective of Noisy Supervision NeurIPS 2018 Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent ICLR 2018 Master-Slave Curriculum Design for Reinforcement Learning IJCAI 2018 Matching Adversarial Networks CVPR 2018 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 Maximum Classifier Discrepancy for Unsupervised Domain Adaptation CVPR 2018 Max-Mahalanobis Linear Discriminant Analysis Networks ICML 2018 MCapsNet: Capsule Network for Text with Multi-Task Learning EMNLP 2018 Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues NeurIPS 2018