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)

Discourse Representation Structure Parsing ACL 2018 Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018 Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning EMNLP 2018 Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss ACML 2018 Discriminative Learning of Open-Vocabulary Object Retrieval and Localization by Negative Phrase Augmentation EMNLP 2018 Disentangled Person Image Generation CVPR 2018 Disentangling 3D Pose in a Dendritic CNN for Unconstrained 2D Face Alignment CVPR 2018 Disentangling Factors of Variation by Mixing Them CVPR 2018 Disentangling Structure and Aesthetics for Style-Aware Image Completion CVPR 2018 Disney at IEST 2018: Predicting Emotions using an Ensemble EMNLP 2018 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging EMNLP 2018 Distilling Knowledge for Search-based Structured Prediction ACL 2018 Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning CVPR 2018 Distributed Fine-tuning of Language Models on Private Data ICLR 2018 Distributed Weight Consolidation: A Brain Segmentation Case Study NeurIPS 2018 Diverse Ensemble Evolution: Curriculum Data-Model Marriage NeurIPS 2018 Diversity-Driven Exploration Strategy for Deep Reinforcement Learning NeurIPS 2018 Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation EMNLP 2018 DNN Multimodal Fusion Techniques for Predicting Video Sentiment ACL 2018 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ACL 2018 Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages? EMNLP 2018 Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items EMNLP 2018 Domain Adaptation for Disease Phrase Matching with Adversarial Networks ACL 2018 Domain Adaptation with Adversarial Training and Graph Embeddings ACL 2018 Domain Adapted Word Embeddings for Improved Sentiment Classification ACL 2018