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)

Language Identification in Code-Mixed Data using Multichannel Neural Networks and Context Capture EMNLP 2018 Language Modeling Teaches You More than Translation Does: Lessons Learned Through Auxiliary Syntactic Task Analysis EMNLP 2018 Large scale distributed neural network training through online distillation ICLR 2018 Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing ACL 2018 LayoutNet: Reconstructing the 3D Room Layout From a Single RGB Image CVPR 2018 LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018 Learning 3D Shape Completion From Laser Scan Data With Weak Supervision CVPR 2018 Learning a Discriminative Feature Network for Semantic Segmentation CVPR 2018 Learning a Discriminative Prior for Blind Image Deblurring CVPR 2018 Learning and Using the Arrow of Time CVPR 2018 Learning a neural response metric for retinal prosthesis ICLR 2018 Learning a Policy for Opportunistic Active Learning EMNLP 2018 Learning a Single Convolutional Super-Resolution Network for Multiple Degradations CVPR 2018 Learning Attribute Representations With Localization for Flexible Fashion Search CVPR 2018 Learning-based Composite Metrics for Improved Caption Evaluation ACL 2018 Learning Beam Search Policies via Imitation Learning NeurIPS 2018 Learning Better Internal Structure of Words for Sequence Labeling EMNLP 2018 Learning beyond Datasets: Knowledge Graph Augmented Neural Networks for Natural Language Processing NAACL 2018 Learning Compositional Visual Concepts With Mutual Consistency CVPR 2018 Learning Convolutional Networks for Content-Weighted Image Compression CVPR 2018 Learning Cross-lingual Distributed Logical Representations for Semantic Parsing ACL 2018 Learning Deep Descriptors With Scale-Aware Triplet Networks CVPR 2018 Learning Deep Disentangled Embeddings With the F-Statistic Loss NeurIPS 2018 Learning Deep Sketch Abstraction CVPR 2018 Learning Deep Structured Active Contours End-to-End CVPR 2018