Co-occurring keywords · papers mentioning both
Papers
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models
AISTATS 2025
A Recipe for Causal Graph Regression: Confounding Effects Revisited
ICML 2025
Attribute Inference Attacks for Federated Regression Tasks
AAAI 2025
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
ICML 2025
Efficient Heterogeneity-Aware Federated Active Data Selection
ICML 2025
From Words to Worth: Newborn Article Impact Prediction with LLM
AAAI 2025
Learning Robust XGBoost Ensembles for Regression Tasks
UAI 2025
Understanding the Effect of GCN Convolutions in Regression Tasks
AISTATS 2025
Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
ICLR 2024
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
NeurIPS 2024
Linear attention is (maybe) all you need (to understand Transformer optimization)
ICLR 2024
Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
CVPR 2024
Simulation-Free Training of Neural ODEs on Paired Data
NeurIPS 2024
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior
NeurIPS 2024
Analyzing Subjectivity Using a Transformer-Based Regressor Trained on Naïve Speakers’ Judgements
ACL 2023
Estimating Regression Predictive Distributions with Sample Networks
AAAI 2023
PerturbScore: Connecting Discrete and Continuous Perturbations in NLP
EMNLP 2023
Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features
ICML 2022
BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression
EACL 2021
Marginalised Gaussian Processes with Nested Sampling
NeurIPS 2021
Positive-Congruent Training: Towards Regression-Free Model Updates
CVPR 2021
Generating Dialogue Responses from a Semantic Latent Space
EMNLP 2020
GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation
ICML 2020
Deep Neural Networks as Gaussian Processes
ICLR 2018
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
IJCAI 2017