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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Papers (including subtopics)

Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming Interspeech 2018 Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations Interspeech 2018 Multi-Task Active Learning for Neural Semantic Role Labeling on Low Resource Conversational Corpus ACL 2018 Multi-Task Adversarial Network for Disentangled Feature Learning CVPR 2018 Multi-task and Multi-lingual Joint Learning of Neural Lexical Utterance Classification based on Partially-shared Modeling COLING 2018 Multitask Boosting for Survival Analysis with Competing Risks NeurIPS 2018 Multi-Task Clustering with Model Relation Learning IJCAI 2018 Multi-task dialog act and sentiment recognition on Mastodon COLING 2018 Multi-Task Label Embedding for Text Classification EMNLP 2018 Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks IJCAI 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Multi-Task Learning by Maximizing Statistical Dependence CVPR 2018 Multi-Task Learning for Argumentation Mining in Low-Resource Settings NAACL 2018 Multi-task learning for historical text normalization: Size matters ACL 2018 Multi-task learning for interpretable cause of death classification using key phrase prediction ACL 2018 Multi-Task Learning for Sequence Tagging: An Empirical Study COLING 2018 Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment NAACL 2018 Multi-Task Learning of Pairwise Sequence Classification Tasks over Disparate Label Spaces NAACL 2018 Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces Interspeech 2018 Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics CVPR 2018 Multi-task Learning with Augmentation Strategy for Acoustic-to-word Attention-based Encoder-decoder Speech Recognition Interspeech 2018 Multi-task multiple kernel learning reveals relevant frequency bands for critical areas localization in focal epilepsy MLHC 2018 Multitask Parsing Across Semantic Representations ACL 2018 Multi-task WaveNet: A Multi-task Generative Model for Statistical Parametric Speech Synthesis without Fundamental Frequency Conditions Interspeech 2018 Multivariate Bayesian Structural Time Series Model JMLR 2018