Summary of Livebench: a Challenging, Contamination-free Llm Benchmark, by Colin White et al.
LiveBench: A Challenging, Contamination-Free LLM Benchmarkby Colin White, Samuel Dooley, Manley Roberts, Arka Pal, Ben…
Summary of Efficient World Models with Context-aware Tokenization, by Vincent Micheli et al.
Efficient World Models with Context-Aware Tokenizationby Vincent Micheli, Eloi Alonso, François FleuretFirst submitted to arxiv…
Summary of Emergence Of Hidden Capabilities: Exploring Learning Dynamics in Concept Space, by Core Francisco Park et al.
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Spaceby Core Francisco Park, Maya Okawa,…
Summary of Zero-shot Domain Adaptation Based on Dual-level Mix and Contrast, by Yu Zhe et al.
Zero-shot domain adaptation based on dual-level mix and contrastby Yu Zhe, Jun SakumaFirst submitted to…
Summary of Gaussian Process-based Online Health Monitoring and Fault Analysis Of Lithium-ion Battery Systems From Field Data, by Joachim Schaeffer et al.
Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field databy…
Summary of On Convex Optimization with Semi-sensitive Features, by Badih Ghazi et al.
On Convex Optimization with Semi-Sensitive Featuresby Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu…
Summary of Accuracy on the Wrong Line: on the Pitfalls Of Noisy Data For Out-of-distribution Generalisation, by Amartya Sanyal et al.
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisationby Amartya…
Summary of Fedmap: Iterative Magnitude-based Pruning For Communication-efficient Federated Learning, by Alexander Herzog and Robbie Southam and Ioannis Mavromatis and Aftab Khan
FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learningby Alexander Herzog, Robbie Southam, Ioannis Mavromatis, Aftab…
Summary of A Look Under the Hood Of the Interactive Deep Learning Enterprise (no-idle), by Daniel Sonntag et al.
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)by Daniel Sonntag, Michael…
Summary of Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers, by Paul Fearnhead et al.
Stochastic Gradient Piecewise Deterministic Monte Carlo Samplersby Paul Fearnhead, Sebastiano Grazzi, Chris Nemeth, Gareth O.…