DOI,IST REx ID,Title of publication
10.1111/liv.70633,21839,"Radiomics‐based assessment of portal hypertension severity and risk stratification of cirrhotic patients using routine CT scans"
10.15479/AT-ISTA-21854,21854,On the utility and effects of efficiency in artificial neural networks
null,21857,Panza: Investigating the feasibility of fully-local personalized text generation
10.48550/arXiv.2601.23153,21859,Behemoth: Benchmarking unlearning in LLMs using fully synthetic data
10.48550/arXiv.2502.06560,21858,Position: It's time to act on the risk of efficient personalized text generation
null,18121,SPADE: Sparsity-guided debugging for deep neural networks
null,14460,SparseProp: Efficient sparse backpropagation for faster training of neural networks at the edge
10.1109/cvpr52729.2023.02334,14771,Bias in pruned vision models: In-depth analysis and countermeasures
10.1109/cvpr52688.2022.01195,12299,How well do sparse ImageNet models transfer?
null,12495,FLEA: Provably robust fair multisource learning from unreliable training data
null,11458,AC/DC: Alternating Compressed/DeCompressed training of deep neural networks