Summary of Unraveling Overoptimism and Publication Bias in Ml-driven Science, by Pouria Saidi et al.
Unraveling overoptimism and publication bias in ML-driven scienceby Pouria Saidi, Gautam Dasarathy, Visar BerishaFirst submitted…
Summary of When Predict Can Also Explain: Few-shot Prediction to Select Better Neural Latents, by Kabir Dabholkar et al.
When predict can also explain: few-shot prediction to select better neural latentsby Kabir Dabholkar, Omri…
Summary of Mitigating Quantization Errors Due to Activation Spikes in Glu-based Llms, by Jaewoo Yang et al.
Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMsby Jaewoo Yang, Hayun Kim, Younghoon…
Summary of The Vital Role Of Gradient Clipping in Byzantine-resilient Distributed Learning, by Youssef Allouah et al.
The Vital Role of Gradient Clipping in Byzantine-Resilient Distributed Learningby Youssef Allouah, Rachid Guerraoui, Nirupam…
Summary of Lars-vsa: a Vector Symbolic Architecture For Learning with Abstract Rules, by Mohamed Mejri et al.
LARS-VSA: A Vector Symbolic Architecture For Learning with Abstract Rulesby Mohamed Mejri, Chandramouli Amarnath, Abhijit…
Summary of Lora-ensemble: Efficient Uncertainty Modelling For Self-attention Networks, by Michelle Halbheer et al.
LoRA-Ensemble: Efficient Uncertainty Modelling for Self-attention Networksby Michelle Halbheer, Dominik J. Mühlematter, Alexander Becker, Dominik…
Summary of Bayesian Adaptive Calibration and Optimal Design, by Rafael Oliveira et al.
Bayesian Adaptive Calibration and Optimal Designby Rafael Oliveira, Dino Sejdinovic, David Howard, Edwin V. BonillaFirst…
Summary of Worldwide Federated Training Of Language Models, by Alex Iacob and Lorenzo Sani and Bill Marino and Preslav Aleksandrov and William F. Shen and Nicholas Donald Lane
Worldwide Federated Training of Language Modelsby Alex Iacob, Lorenzo Sani, Bill Marino, Preslav Aleksandrov, William…
Summary of Tighter Privacy Auditing Of Dp-sgd in the Hidden State Threat Model, by Tudor Cebere et al.
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Modelby Tudor Cebere, Aurélien Bellet,…
Summary of Segformer++: Efficient Token-merging Strategies For High-resolution Semantic Segmentation, by Daniel Kienzle et al.
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentationby Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer…