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

'15

'20

'25

Papers (including subtopics)

Guiding Attention for Self-Supervised Learning with Transformers EMNLP 2020 Guiding Deep Molecular Optimization with Genetic Exploration NeurIPS 2020 GUIR @ LongSumm 2020: Learning to Generate Long Summaries from Scientific Documents EMNLP 2020 HAMBox: Delving Into Mining High-Quality Anchors on Face Detection CVPR 2020 Hamilton-Jacobi-Bellman Equations for Q-Learning in Continuous Time L4DC 2020 Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks IJCAI 2020 Handling Rare Entities for Neural Sequence Labeling ACL 2020 HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map CVPR 2020 Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NeurIPS 2020 Harmonizing Transferability and Discriminability for Adapting Object Detectors CVPR 2020 Harnessing GANs for Zero-Shot Learning of New Classes in Visual Speech Recognition AAAI 2020 Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach COLING 2020 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers AAAI 2020 HENIN: Learning Heterogeneous Neural Interaction Networks for Explainable Cyberbullying Detection on Social Media EMNLP 2020 HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training EMNLP 2020 Heterogeneous Knowledge Distillation Using Information Flow Modeling CVPR 2020 Heuristic Black-Box Adversarial Attacks on Video Recognition Models AAAI 2020 Heuristic Domain Adaptation NeurIPS 2020 HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing ACL 2020 Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification CVPR 2020 Hide and Speak: Towards Deep Neural Networks for Speech Steganography Interspeech 2020 Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling AAAI 2020 Hider-Finder-Combiner: An Adversarial Architecture for General Speech Signal Modification Interspeech 2020 Hierarchical Conditional Relation Networks for Video Question Answering CVPR 2020 Hierarchical Granularity Transfer Learning NeurIPS 2020