Search Results for author:
Found 9 papers, 1 papers with code
Unified Batch Normalization: Identifying and Alleviating the Feature Condensation in Batch Normalization and a Unified Framework
In this work, we critically examine BN from a feature perspective, identifying feature condensation during BN as a detrimental factor to test performance.
TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs
We construct a hierarchical task tree encompassing 7 major areas covering over 200 categories and over 800 tasks, which covers diverse capabilities such as question answering, reasoning, multiturn dialogue, and text generation, to evaluate LLMs in a comprehensive and in-depth manner.
Hyperuniform disordered parametric loudspeaker array
A steerable parametric loudspeaker array is known for its directivity and narrow beam width.
Trap of Feature Diversity in the Learning of MLPs
In this paper, we focus on a typical two-phase phenomenon in the learning of multi-layer perceptrons (MLPs), and we aim to explain the reason for the decrease of feature diversity in the first phase.
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
This paper proposes a method to visualize the discrimination power of intermediate-layer visual patterns encoded by a DNN.
Signal identification with Kalman Filter towards background-free neutrinoless double beta decay searches in gaseous detectors
Particle tracks and differential energy loss measured in high pressure gaseous detectors can be exploited for event identification in neutrinoless double beta decay~($0\nu \beta \beta$) searches.
Instrumentation and Detectors High Energy Physics - Experiment
Slow Control System for PandaX-III experiment
The PandaX-III experiment uses high pressure gaseous time projection chamber to search for the neutrinoless double beta decay of $^{136}$Xe.
Anomaly Detection
High Energy Physics - Experiment
Instrumentation and Detectors
Enhanced search sensitivity to the double beta decay of $^{136}$Xe to excited states with topological signatures
Similarly, the half-life sensitivity of neutrinoless double beta decay of $^{136}$Xe to excited states of $^{136}$Ba can be improved by a factor of 4. 8 with topological signatures.
Nuclear Experiment High Energy Physics - Experiment
A Fast Point Cloud Ground Segmentation Approach Based on Coarse-To-Fine Markov Random Field
Ground segmentation is an important preprocessing task for autonomous vehicles (AVs) with 3D LiDARs.
