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)

Zero-Shot Kernel Learning CVPR 2018 Zero-shot Learning of Classifiers from Natural Language Quantification ACL 2018 Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder IJCAI 2018 Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs CVPR 2018 Zero-Shot Sketch-Image Hashing CVPR 2018 “Zero-Shot” Super-Resolution Using Deep Internal Learning CVPR 2018 Zero-Shot Transfer Learning for Event Extraction ACL 2018 Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks CVPR 2018 Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains CVPR 2018 ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection ACML 2018 2016 BUT Babel System: Multilingual BLSTM Acoustic Model with i-Vector Based Adaptation Interspeech 2017 3D Bounding Box Estimation Using Deep Learning and Geometry CVPR 2017 3D Convolutional Neural Networks for Efficient and Robust Hand Pose Estimation From Single Depth Images CVPR 2017 3D Human Pose Estimation = 2D Pose Estimation + Matching CVPR 2017 A Bayesian Data Augmentation Approach for Learning Deep Models NeurIPS 2017 Accelerating Eulerian Fluid Simulation With Convolutional Networks ICML 2017 A Cognition Based Attention Model for Sentiment Analysis EMNLP 2017 A Comparative Evaluation of GMM-Free State Tying Methods for ASR Interspeech 2017 A Comparison of Sequence-to-Sequence Models for Speech Recognition Interspeech 2017 A Convolutional Encoder Model for Neural Machine Translation ACL 2017 A Copy-Augmented Sequence-to-Sequence Architecture Gives Good Performance on Task-Oriented Dialogue EACL 2017 A Corpus of Natural Language for Visual Reasoning ACL 2017 Action Unit Detection With Region Adaptation, Multi-Labeling Learning and Optimal Temporal Fusing CVPR 2017 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NeurIPS 2017 Active Learning for Black-Box Semantic Role Labeling with Neural Factors IJCAI 2017