Optimization

DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking CVPR 2024 Deconstructing the Goldilocks Zone of Neural Network Initialization ICML 2024 Decoupled Optimisation for Long-Tailed Visual Recognition AAAI 2024 Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods ICML 2024 DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024 Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification AISTATS 2024 Deep Equilibrium Diffusion Restoration with Parallel Sampling CVPR 2024 Deep Metric Learning With Chance Constraints WACV 2024 Deep Neural Networks Tend To Extrapolate Predictably ICLR 2024 Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models ECCV 2024 DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models ACL 2024 DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing AAAI 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Deep-TROJ: An Inference Stage Trojan Insertion Algorithm through Efficient Weight Replacement Attack CVPR 2024 Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening AAAI 2024 DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training ICLR 2024 Deformation-aware GAN for Medical Image Synthesis with Substantially Misaligned Pairs MIDL 2024 Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning NAACL 2024 Delegating Data Collection in Decentralized Machine Learning AISTATS 2024 Deletion-Anticipative Data Selection with a Limited Budget ICML 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 the Convergence of Generalized Smooth Minimax Optimization ICML 2024 Demystifying SGD with Doubly Stochastic Gradients ICML 2024