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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526

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477

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1,314

2,083

3,689

4,652

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8,201

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2000

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Papers (including subtopics)

Realistic Evaluation of Deep Semi-Supervised Learning Algorithms NeurIPS 2018 Real-World Anomaly Detection in Surveillance Videos CVPR 2018 Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks EMNLP 2018 Reasoning with Sarcasm by Reading In-Between ACL 2018 Recognition of Echolalic Autistic Child Vocalisations Utilising Convolutional Recurrent Neural Networks Interspeech 2018 Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform CVPR 2018 Recurrent Collaborative Filtering for Unifying General and Sequential Recommender IJCAI 2018 Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid IJCAI 2018 Recurrent Predictive State Policy Networks ICML 2018 Recurrent World Models Facilitate Policy Evolution NeurIPS 2018 Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction ACL 2018 Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation Interspeech 2018 Reducing Network Agnostophobia NeurIPS 2018 Redundancy-resistant Generative Hashing for Image Retrieval IJCAI 2018 Reference-less Measure of Faithfulness for Grammatical Error Correction NAACL 2018 Refining the Confidence Level for Optimistic Bandit Strategies JMLR 2018 Regret Bounds for Online Portfolio Selection with a Cardinality Constraint NeurIPS 2018 Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator NeurIPS 2018 Regret Minimization for Partially Observable Deep Reinforcement Learning ICML 2018 Regular Expression Guided Entity Mention Mining from Noisy Web Data EMNLP 2018 Regularized Training Objective for Continued Training for Domain Adaptation in Neural Machine Translation ACL 2018 Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method IJCAI 2018 Reinforced Continual Learning NeurIPS 2018 Reinforced Co-Training NAACL 2018 Reinforced Mnemonic Reader for Machine Reading Comprehension IJCAI 2018