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Explicit Model Size Control and Relaxation via Smooth Regularization for Mixed-Precision Quantization
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks
Theoretical Understanding of the Information Flow on Continual Learning Performance
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
LANA: Latency Aware Network Acceleration
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
Understanding the Dynamics of DNNs Using Graph Modularity
Latent Discriminant Deterministic Uncertainty
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
HIVE: Evaluating the Human Interpretability of Visual Explanations
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
SESS: Saliency Enhancing with Scaling and Sliding
No Token Left Behind: Explainability-Aided Image Classification and Generation
Interpretable Image Classification with Differentiable Prototypes Assignment
Contributions of Shape, Texture, and Color in Visual Recognition
STEEX: Steering Counterfactual Explanations with Semantics
Are Vision Transformers Robust to Patch Perturbations?
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations
Cartoon Explanations of Image Classifiers
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing
On Mitigating Hard Clusters for Face Clustering
OneFace: One Threshold for All
Label2Label: A Language Modeling Framework for Multi Attribute Learning
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
CoupleFace: Relation Matters for Face Recognition Distillation
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Towards Robust Face Recognition with Comprehensive Search
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.
BASQ: Branch-Wise Activation-Clipping Search Quantization for Sub-4-Bit Neural Networks
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks
FedLTN: Federated Learning for Sparse and Personalized Lottery Ticket Networks
Theoretical Understanding of the Information Flow on Continual Learning Performance
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
LANA: Latency Aware Network Acceleration
RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization
Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach
Understanding the Dynamics of DNNs Using Graph Modularity
Latent Discriminant Deterministic Uncertainty
Making Heads or Tails: Towards Semantically Consistent Visual Counterfactuals
HIVE: Evaluating the Human Interpretability of Visual Explanations
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
SESS: Saliency Enhancing with Scaling and Sliding
No Token Left Behind: Explainability-Aided Image Classification and Generation
Interpretable Image Classification with Differentiable Prototypes Assignment
Contributions of Shape, Texture, and Color in Visual Recognition
STEEX: Steering Counterfactual Explanations with Semantics
Are Vision Transformers Robust to Patch Perturbations?
A Dataset Generation Framework for Evaluating Megapixel Image Classifiers & Their Explanations
Cartoon Explanations of Image Classifiers
Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value
Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain
Contrast-Phys: Unsupervised Video-Based Remote Physiological Measurement via Spatiotemporal Contrast
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing
On Mitigating Hard Clusters for Face Clustering
OneFace: One Threshold for All
Label2Label: A Language Modeling Framework for Multi Attribute Learning
AgeTransGAN for Facial Age Transformation with Rectified Performance Metrics
Hierarchical Contrastive Inconsistency Learning for Deepfake Video Detection
Rethinking Robust Representation Learning under Fine-Grained Noisy Faces
Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions
Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis
CoupleFace: Relation Matters for Face Recognition Distillation
Controllable and Guided Face Synthesis for Unconstrained Face Recognition
Towards Robust Face Recognition with Comprehensive Search
Towards Unbiased Label Distribution Learning for Facial Pose Estimation Using Anisotropic Spherical Gaussian.