Image Classification

Weight-space networks operate directly on parameters of other neural networks, enabling tasks such as predicting model properties, editing trained models, and generating weights. Weight-space symmetries such as neuron pe…

Knowledge Distillation Image Classification Model Compression

Controllable Stochastic Quantization Encoding for Adversarially Robust Spiking Neural Networks

2026-10-01 · Yujia Liu, Peiyu Liu, Yajing Zheng, Tiejun Huang arxiv

Spiking Neural Networks (SNNs) have attracted increasing attention due to their impressive temporal dynamics, energy efficiency, and brain-inspired mechanisms. Although SNNs have demonstrated promising performance in ima…

Adversarial Robustness Image Classification

IntBMoE: Integrating Block-Level Conditioning into Expert Composition for Full-Participation Mixture-of-Experts

2026-09-18 · Ran Cheng, Longfei Xu, Zheng Liu, Kaikui Liu 외 hf

Mixture-of-Experts (MoE) scales capacity, but existing designs cannot set three quantities independently. For a single token, participation is how many experts contribute knowledge to its output, execution is how many ar…

Sequential Recommendation Image Classification

PiPS: Post-Hoc Prototypical Explanations for Interpretable Semantic Segmentation

2026-09-15 · Miłosz Adamczyk, Tymoteusz Zapala, Piotr Borycki, Przemysław Spurek arxiv

With the increasing deployment of deep neural networks in critical systems, such as medical diagnostics and autonomous vehicles, ensuring their interpretability is crucial to building trust in decision-making systems. In…

Semantic Segmentation Image Classification Object Localization Autonomous Vehicles

TAPe+ML: A Compact Structured Representation for Multi-Task Computer Vision

2026-09-15 · Sergey Kurinov, Alexey Upatov hf

We present TAPe+ML v3, a compact computer vision system based on TAPe (Theory of Active Perception), a structured representation that encodes relations among perceptual elements before recognition. Instead of operating d…

Instance Segmentation Image Classification Object Localization Object Detection

Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask

2026-09-09 · Yixiao Li, Xiaoyuan Yang, Jin Jiang, Minghao Zou 외 arxiv

Deformable convolution networks have recently become popular for many computer vision tasks, especially for semantic segmentation, because of their exceptional capabilities in dynamic spatial modeling. However, due to th…

Semantic Segmentation Image Classification Edge Detection

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