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)

Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking IJCAI 2018 Visual Attention Model for Name Tagging in Multimodal Social Media ACL 2018 Visualizing Phoneme Category Adaptation in Deep Neural Networks Interspeech 2018 Visual Object Networks: Image Generation with Disentangled 3D Representations NeurIPS 2018 Visual Question Generation as Dual Task of Visual Question Answering CVPR 2018 Visual Reinforcement Learning with Imagined Goals NeurIPS 2018 Visual Timing Information in Audiovisual Speech Perception: Evidence from Lexical Tone Contour Interspeech 2018 Visual to Sound: Generating Natural Sound for Videos in the Wild CVPR 2018 VITAL: VIsual Tracking via Adversarial Learning CVPR 2018 VizWiz Grand Challenge: Answering Visual Questions From Blind People CVPR 2018 W2F: A Weakly-Supervised to Fully-Supervised Framework for Object Detection CVPR 2018 Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer CVPR 2018 Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning IJCAI 2018 Weakly Supervised Dense Event Captioning in Videos NeurIPS 2018 Weakly Supervised Instance Segmentation Using Class Peak Response CVPR 2018 Weakly Supervised Learning of Single-Cell Feature Embeddings CVPR 2018 Weakly-Supervised Neural Semantic Parsing with a Generative Ranker CoNLL 2018 Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network CVPR 2018 Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features CVPR 2018 Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing CVPR 2018 What can we learn from Semantic Tagging? EMNLP 2018 What do character-level models learn about morphology? The case of dependency parsing EMNLP 2018 What Do Deep Networks Like to See? CVPR 2018 What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018 What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games IJCAI 2018