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conftrace_

regression task

25 papers

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