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)

Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media EMNLP 2022 Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Discovering Differences in the Representation of People using Contextualized Semantic Axes EMNLP 2022 Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations EMNLP 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning ICLR 2022 Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation EMNLP 2022 DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation EMNLP 2022 Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images CVPR 2022 Disentangled Sequence to Sequence Learning for Compositional Generalization ACL 2022 Dist2Cycle: A Simplicial Neural Network for Homology Localization AAAI 2022 Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection CVPR 2022 Distilled Dual-Encoder Model for Vision-Language Understanding EMNLP 2022 Distilling a Pretrained Language Model to a Multilingual ASR Model Interspeech 2022 Distilling Inter-Class Distance for Semantic Segmentation IJCAI 2022 Distilling Multilingual Transformers into CNNs for Scalable Intent Classification EMNLP 2022 Distilling Representations from GAN Generator via Squeeze and Span NeurIPS 2022 Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation EMNLP 2022 Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model ACL 2022 Distinguishing Unseen From Seen for Generalized Zero-Shot Learning CVPR 2022 Distinguish Sense from Nonsense: Out-of-Scope Detection for Virtual Assistants EMNLP 2022 DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022 Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked Systems NeurIPS 2022 Distributional Reinforcement Learning for Risk-Sensitive Policies NeurIPS 2022 Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NeurIPS 2022 Distribution Aware VoteNet for 3D Object Detection AAAI 2022