Neural Networks

Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching ICLR 2025 Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs ICML 2025 Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on SO(d) COLT 2025 Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations ICML 2025 Explaining Modern Gated-Linear RNNs via a Unified Implicit Attention Formulation ICLR 2025 Explicit Relational Reasoning Network for Scene Text Detection AAAI 2025 Exploiting Deblurring Networks for Radiance Fields CVPR 2025 Exploiting Label Skewness for Spiking Neural Networks in Federated Learning IJCAI 2025 Exploring channel distinguishability in local neighborhoods of the model space in quantum neural networks ICLR 2025 Exploring Historical Information for RGBE Visual Tracking with Mamba CVPR 2025 Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder ACL 2025 Exploring Salient Object Detection with Adder Neural Networks AAAI 2025 Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis CVPR 2025 Exploring the Integration of Eye Movement Data on Word Embeddings NAACL 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 Exponential-Family Harmoniums with Neural Sufficient Statistics AAAI 2025 Exposure-slot: Exposure-centric Representations Learning with Slot-in-Slot Attention for Region-aware Exposure Correction CVPR 2025 Extended LSTMs for Knowledge Tracing: Peeking Inside the Black Box (Student Abstract) AAAI 2025 Extractive Fact Decomposition for Interpretable Natural Language Inference in one Forward Pass EMNLP 2025 Factor Augmented Tensor-on-Tensor Neural Networks AAAI 2025 FairSMOE: Mitigating Multi-Attribute Fairness Problem with Sparse Mixture-of-Experts IJCAI 2025 Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction AAAI 2025 Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks L4DC 2025 FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks ICML 2025