David Cox
21 papers · 2013–2024 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which David Cox?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Leonid Karlinsky, Rogerio Feris, Rameswar Panda
6 papers
· 2019–2024
· NeurIPS, CVPR, ACL
Hide ▲
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning
NeurIPS 2024
Self-Specialization: Uncovering Latent Expertise within Large Language Models
ACL 2024
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
CVPR 2023
VALHALLA: Visual Hallucination for Machine Translation
CVPR 2022
Joint Visual-Temporal Embedding for Unsupervised Learning of Actions in Untrimmed Sequences
WACV 2021
More Is Less: Learning Efficient Video Representations by Big-Little Network and Depthwise Temporal Aggregation
NeurIPS 2019
4 papers whose co-authors appear nowhere else under this name
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
NeurIPS 2019
Tensor Switching Networks
NeurIPS 2016
Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images
CVPR 2014
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
ICML 2013