conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

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Papers (including subtopics)

Image-level to Pixel-wise Labeling: From Theory to Practice IJCAI 2018 Image Restoration by Estimating Frequency Distribution of Local Patches CVPR 2018 Image-to-image translation for cross-domain disentanglement NeurIPS 2018 Imitation Learning for Neural Morphological String Transduction EMNLP 2018 Impact of Aliasing on Deep CNN-Based End-to-End Acoustic Models Interspeech 2018 Implementing Fusion Techniques for the Classification of Paralinguistic Information Interspeech 2018 Implicit Argument Prediction with Event Knowledge NAACL 2018 Importance Weighted Adversarial Nets for Partial Domain Adaptation CVPR 2018 Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering CVPR 2018 Improved Semantic-Aware Network Embedding with Fine-Grained Word Alignment EMNLP 2018 Improved Training of Generative Adversarial Networks Using Representative Features ICML 2018 Improvements to Context Based Self-Supervised Learning CVPR 2018 Improving Abstraction in Text Summarization EMNLP 2018 Improving Cross-Lingual Word Embeddings by Meeting in the Middle EMNLP 2018 Improving Knowledge Graph Embedding Using Simple Constraints ACL 2018 Improving Landmark Localization With Semi-Supervised Learning CVPR 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Improving Named Entity Recognition by Jointly Learning to Disambiguate Morphological Tags COLING 2018 Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling EMNLP 2018 Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets NAACL 2018 Improving Neural Program Synthesis with Inferred Execution Traces NeurIPS 2018 Improving Reinforcement Learning Based Image Captioning with Natural Language Prior EMNLP 2018 Improving Reinforcement Learning with Human Input IJCAI 2018 Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder EMNLP 2018 Incorporating Chinese Characters of Words for Lexical Sememe Prediction ACL 2018