Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Invariant Information Clustering for Unsupervised Image Classification and Segmentation ICCV 2019 InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019 Inverting Learned Dynamics Models for Aggressive Multirotor Control RSS 2019 Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications NAACL 2019 Investigating Sub-Word Embedding Strategies for the Morphologically Rich and Free Phrase-Order Hungarian ACL 2019 Investigating the effect of novel classes in semi-supervised learning ACML 2019 Investigating the Robustness of Sequence-to-Sequence Text-to-Speech Models to Imperfectly-Transcribed Training Data Interspeech 2019 Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion Interspeech 2019 IP102: A Large-Scale Benchmark Dataset for Insect Pest Recognition CVPR 2019 IRLAS: Inverse Reinforcement Learning for Architecture Search CVPR 2019 Is advance knowledge of flow sizes a plausible assumption? NSDI 2019 Is artificial data useful for biomedical Natural Language Processing algorithms? ACL 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Issue Framing in Online Discussion Fora NAACL 2019 Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts EMNLP 2019 Is Word Segmentation Child’s Play in All Languages? ACL 2019 Is Word Segmentation Necessary for Deep Learning of Chinese Representations? ACL 2019 Iterated Learning in Dynamic Social Networks JMLR 2019 Iterative Classroom Teaching AAAI 2019 Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology MIDL 2019 Iterative Least Trimmed Squares for Mixed Linear Regression NeurIPS 2019 Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision CVPR 2019 Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning CVPR 2019 Iterative Search for Weakly Supervised Semantic Parsing NAACL 2019 Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge EMNLP 2019