Neural Networks

Exploring the Low-Pass Filtering Behavior in Image Super-Resolution ICML 2024 Exploring the Promise and Limits of Real-Time Recurrent Learning ICLR 2024 Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces NeurIPS 2024 Exploring Token Pruning in Vision State Space Models NeurIPS 2024 Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection AAAI 2024 Expressivity of ReLU-Networks under Convex Relaxations ICLR 2024 Extracting Relations from Ecclesiastical Cultural Heritage Texts EMNLP 2024 Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems NeurIPS 2024 FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing NeurIPS 2024 FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract) AAAI 2024 FairProof : Confidential and Certifiable Fairness for Neural Networks ICML 2024 Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline Approach EMNLP 2024 Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes AAAI 2024 Fast and Knowledge-Free Deep Learning for General Game Playing (Student Abstract) AAAI 2024 Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space ICLR 2024 Fast Machine Unlearning without Retraining through Selective Synaptic Dampening AAAI 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Feature Collapse ICLR 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Feature Fusion from Head to Tail for Long-Tailed Visual Recognition AAAI 2024 Feature Transportation Improves Graph Neural Networks AAAI 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Neuro-Symbolic Learning ICML 2024 Federated Recommendation with Additive Personalization ICLR 2024 FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising MIDL 2024