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)

Debiasing Event Understanding for Visual Commonsense Tasks ACL 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure NeurIPS 2022 Debiasing Pre-Trained Language Models via Efficient Fine-Tuning ACL 2022 Deblur-NeRF: Neural Radiance Fields From Blurry Images CVPR 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach ICLR 2022 Decentralized Training of Foundation Models in Heterogeneous Environments NeurIPS 2022 Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal NeurIPS 2022 Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation NeurIPS 2022 Decomposing Natural Logic Inferences for Neural NLI EMNLP 2022 Deconfounded Representation Similarity for Comparison of Neural Networks NeurIPS 2022 Deconfounded Visual Grounding AAAI 2022 Deconfounding Physical Dynamics with Global Causal Relation and Confounder Transmission for Counterfactual Prediction AAAI 2022 Deconvolutional Density Network: Modeling Free-Form Conditional Distributions AAAI 2022 Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 Decoupled Adaptation for Cross-Domain Object Detection ICLR 2022 Decoupled Context Processing for Context Augmented Language Modeling NeurIPS 2022 Decoupled Federated Learning for ASR with Non-IID Data Interspeech 2022 Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation NeurIPS 2022 Decoupling Makes Weakly Supervised Local Feature Better CVPR 2022 Deep Active Learning by Leveraging Training Dynamics NeurIPS 2022 Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process AAAI 2022 Deep Anomaly Discovery From Unlabeled Videos via Normality Advantage and Self-Paced Refinement CVPR 2022 DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding AAAI 2022 Deep AutoAugment ICLR 2022 DeepBlues@LT-EDI-ACL2022: Depression level detection modelling through domain specific BERT and short text Depression classifiers ACL 2022