Co-occurring keywords · papers mentioning both
Papers
UniToolBench: A Benchmark for Tool-Augmented LLMs in Cross-Domain, Universal Task Automation
EACL 2026
(Almost) Free Modality Stitching of Foundation Models
EMNLP 2025
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable
CVPR 2025
LESA: Learnable LLM Layer Scaling-Up
ACL 2025
CNC-Net: Self-Supervised Learning for CNC Machining Operations
CVPR 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
NeurIPS 2024
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing
ACL 2024
Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
ICML 2023
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
CVPR 2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
MIDL 2023
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
NeurIPS 2023
Reducing Energy Consumption of Pressure Sensor Calibration Using Polynomial HyperNetworks with Fourier Features
AAAI 2022
Parameter Prediction for Unseen Deep Architectures
NeurIPS 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks
CVPR 2021
Learning to Learn Cropping Models for Different Aspect Ratio Requirements
CVPR 2020
A Neural Model to Predict Parameters for a Generalized Command Response Model of Intonation
Interspeech 2018
Few-Shot Image Recognition by Predicting Parameters From Activations
CVPR 2018
Learning to Model the Tail
NeurIPS 2017
Learning feed-forward one-shot learners
NeurIPS 2016
Predicting Parameters in Deep Learning
NeurIPS 2013