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)

Neural Quality Estimation of Grammatical Error Correction EMNLP 2018 Neural Ranking Models for Temporal Dependency Structure Parsing EMNLP 2018 NeuralREG: An end-to-end approach to referring expression generation ACL 2018 Neural Response Ranking for Social Conversation: A Data-Efficient Approach EMNLP 2018 Neural Semantic Parsing ACL 2018 Neural Sign Language Translation CVPR 2018 Neural Sparse Topical Coding ACL 2018 Neural Storyline Extraction Model for Storyline Generation from News Articles NAACL 2018 Neural Style Transfer via Meta Networks CVPR 2018 Neural Text Generation in Stories Using Entity Representations as Context NAACL 2018 Neural Transductive Learning and Beyond: Morphological Generation in the Minimal-Resource Setting EMNLP 2018 NEXUS Network: Connecting the Preceding and the Following in Dialogue Generation EMNLP 2018 Nightmare at test time: How punctuation prevents parsers from generalizing EMNLP 2018 NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing EMNLP 2018 NLP at IEST 2018: BiLSTM-Attention and LSTM-Attention via Soft Voting in Emotion Classification EMNLP 2018 Noising and Denoising Natural Language: Diverse Backtranslation for Grammar Correction NAACL 2018 No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling ACL 2018 Non-Adversarial Mapping with VAEs NeurIPS 2018 Non-Adversarial Unsupervised Word Translation EMNLP 2018 Non-Autoregressive Neural Machine Translation ICLR 2018 Non-Blind Deblurring: Handling Kernel Uncertainty With CNNs CVPR 2018 Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018 Nonparametric variable importance using an augmented neural network with multi-task learning ICML 2018 Normalized Cut Loss for Weakly-Supervised CNN Segmentation CVPR 2018 NORMA: Neighborhood Sensitive Maps for Multilingual Word Embeddings EMNLP 2018