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)

Biologically Inspired Sleep Algorithm for Reducing Catastrophic Forgetting in Neural Networks AAAI 2020 Biologically Plausible Sequence Learning with Spiking Neural Networks AAAI 2020 Biomedical Entity Representations with Synonym Marginalization ACL 2020 Bipartite Flat-Graph Network for Nested Named Entity Recognition ACL 2020 BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues EMNLP 2020 BiTeM at WNUT 2020 Shared Task-1: Named Entity Recognition over Wet Lab Protocols using an Ensemble of Contextual Language Models EMNLP 2020 Bivariate Beta-LSTM AAAI 2020 Blank Language Models EMNLP 2020 BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation CVPR 2020 BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images NeurIPS 2020 Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation CVPR 2020 BlueMemo: Depression Analysis through Twitter Posts IJCAI 2020 Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data CVPR 2020 Boosting Neural Machine Translation with Similar Translations ACL 2020 Boosting Semantic Human Matting With Coarse Annotations CVPR 2020 Boosting Standard Classification Architectures Through a Ranking Regularizer WACV 2020 Boosting the Transferability of Adversarial Samples via Attention CVPR 2020 Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning ICML 2020 Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games EMNLP 2020 Bootstrapping Techniques for Polysynthetic Morphological Analysis ACL 2020 Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning NeurIPS 2020 Boundary-Aware 3D Building Reconstruction From a Single Overhead Image CVPR 2020 Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition AAAI 2020 Bridged Variational Autoencoders for Joint Modeling of Images and Attributes WACV 2020 Bridging Maximum Likelihood and Adversarial Learning via α-Divergence AAAI 2020