Application Areas

Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization CVPR 2024 Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization ICML 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR NAACL 2024 Defining Expertise: Applications to Treatment Effect Estimation ICLR 2024 Defining Neural Network Architecture through Polytope Structures of Datasets ICML 2024 Defog Artificial Intelligence Glasses: Neural Networks for the Imperfect Real World AAAI 2024 De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024 Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model EACL 2024 DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets CVPR 2024 DéjàVu: KV-cache Streaming for Fast, Fault-tolerant Generative LLM Serving ICML 2024 DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering NeurIPS 2024 Deletion-Anticipative Data Selection with a Limited Budget ICML 2024 DeliGrasp: Inferring Object Properties with LLMs for Adaptive Grasp Policies CoRL 2024 Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models NeurIPS 2024 DeltaDEQ: Exploiting Heterogeneous Convergence for Accelerating Deep Equilibrium Iterations NeurIPS 2024 DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking NeurIPS 2024 Delving into Differentially Private Transformer ICML 2024 Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024 Delving into the Depths: Evaluating Depression Severity through BDI-biased Summaries EACL 2024 DEM: Distribution Edited Model for Training with Mixed Data Distributions EMNLP 2024 DemoCaricature: Democratising Caricature Generation with a Rough Sketch CVPR 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Demystifying Algorithmic Fairness in an Uncertain World AAAI 2024 Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition ICLR 2024