conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

1

3

5

5

4

19

24

28

26

35

42

55

142

116

147

330

517

1,020

1,828

2,498

3,411

3,854

5,063

6,422

7,176

1,666

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP 2024 Learning from Noisy Labels via Conditional Distributionally Robust Optimization NeurIPS 2024 Learning from Offline Foundation Features with Tensor Augmentations NeurIPS 2024 Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias. ACL 2024 Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs ICML 2024 Learning from Wrong Predictions in Low-Resource Neural Machine Translation COLING 2024 Learning Generalized Medical Image Segmentation from Decoupled Feature Queries AAAI 2024 Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance AAAI 2024 Learning Global Controller in Latent Space for Parameter-Efficient Fine-Tuning ACL 2024 Learning High-Order Relationships of Brain Regions ICML 2024 Learning Image Demoiréing from Unpaired Real Data AAAI 2024 Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition ICML 2024 Learning Linear Block Error Correction Codes ICML 2024 Learning “look-ahead” nonlocal traffic dynamics in a ring road L4DC 2024 Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression IJCAI 2024 Learning Modality Knowledge Alignment for Cross-Modality Transfer ICML 2024 Learning model uncertainty as variance-minimizing instance weights ICLR 2024 Learning Multi-Dimensional Human Preference for Text-to-Image Generation CVPR 2024 Learning on Large Graphs using Intersecting Communities NeurIPS 2024 Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024 Learning Optimal Dynamic Treatment Regimens Subject to Stagewise Risk Controls JMLR 2024 Learning or Self-aligning? Rethinking Instruction Fine-tuning ACL 2024 Learning Performance Maximizing Ensembles with Explainability Guarantees AAAI 2024 Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients ICLR 2024 Learning Polynomial Problems with SL(2, R)-Equivariance ICLR 2024