Model Architecture

The Value of AI Guidance in Human Examination of Synthetically-Generated Faces AAAI 2023 TIPS: Topologically Important Path Sampling for Anytime Neural Networks ICML 2023 Token Merging: Your ViT But Faster ICLR 2023 Token Pooling in Vision Transformers for Image Classification WACV 2023 Totally Dynamic Hypergraph Neural Networks IJCAI 2023 Toward Human-Like Evaluation for Natural Language Generation with Error Analysis ACL 2023 Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning ACL 2023 Towards Anytime Classification in Early-Exit Architectures by Enforcing Conditional Monotonicity NeurIPS 2023 Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023 Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment CVPR 2023 Towards Deep Attention in Graph Neural Networks: Problems and Remedies ICML 2023 Towards Fully Quantized Neural Networks For Speech Enhancement Interspeech 2023 Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network NeurIPS 2023 Towards Real-Time Segmentation on the Edge AAAI 2023 Towards Stable Backdoor Purification through Feature Shift Tuning NeurIPS 2023 Tracking Growth and Decay of Plant Roots in Minirhizotron Images WACV 2023 Trainability Preserving Neural Pruning ICLR 2023 Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NeurIPS 2023 Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis NeurIPS 2023 Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis ICLR 2023 Training Transformers with 4-bit Integers NeurIPS 2023 Train-Once-for-All Personalization CVPR 2023 Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings NeurIPS 2023 Transformer Meets Boundary Value Inverse Problems ICLR 2023 Transformers for Recognition in Overhead Imagery: A Reality Check WACV 2023