Summary of Calico: Confident Active Learning with Integrated Calibration, by Lorenzo S. Querol et al.
CALICO: Confident Active Learning with Integrated Calibrationby Lorenzo S. Querol, Hajime Nagahara, Hideaki HayashiFirst submitted…
Summary of Unveiling the Hidden Structure Of Self-attention Via Kernel Principal Component Analysis, by Rachel S.y. Teo et al.
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysisby Rachel S.Y. Teo, Tan…
Summary of Explicit Word Density Estimation For Language Modelling, by Jovan Andonov et al.
Explicit Word Density Estimation for Language Modellingby Jovan Andonov, Octavian Ganea, Paulina Grnarova, Gary Bécigneul,…
Summary of What Does Softmax Probability Tell Us About Classifiers Ranking Across Diverse Test Conditions?, by Weijie Tu et al.
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?by Weijie Tu,…
Summary of Differentiable Combinatorial Scheduling at Scale, by Mingju Liu et al.
Differentiable Combinatorial Scheduling at Scaleby Mingju Liu, Yingjie Li, Jiaqi Yin, Zhiru Zhang, Cunxi YuFirst…
Summary of Parallelizing Linear Transformers with the Delta Rule Over Sequence Length, by Songlin Yang et al.
Parallelizing Linear Transformers with the Delta Rule over Sequence Lengthby Songlin Yang, Bailin Wang, Yu…
Summary of Neural-g: a Deep Learning Framework For Mixing Density Estimation, by Shijie Wang et al.
Neural-g: A Deep Learning Framework for Mixing Density Estimationby Shijie Wang, Saptarshi Chakraborty, Qian Qin,…
Summary of Evidentially Calibrated Source-free Time-series Domain Adaptation with Temporal Imputation, by Mohamed Ragab et al.
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputationby Mohamed Ragab, Peiliang Gong, Emadeldeen Eldele,…
Summary of On the Statistical Representation Properties Of the Perturb-softmax and the Perturb-argmax Probability Distributions, by Hedda Cohen Indelman et al.
On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributionsby Hedda Cohen…
Summary of Ffnet: Metamixer-based Efficient Convolutional Mixer Design, by Seokju Yun et al.
FFNet: MetaMixer-based Efficient Convolutional Mixer Designby Seokju Yun, Dongheon Lee, Youngmin RoFirst submitted to arxiv…