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Optimization

1638 directly classified papers

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Papers

Efficient Target Propagation by Deriving Analytical Solution AAAI 2024
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024
Latency Correction for Event-guided Deblurring and Frame Interpolation CVPR 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching CVPR 2024
Scaled Decoupled Distillation CVPR 2024
Faster Vocoder: a multi threading approach to achieve low latency during TTS Inference INTERSPEECH 2024
Towards Accurate Post-training Quantization for Diffusion Models CVPR 2024
Stepping Forward on the Last Mile NIPS 2024
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformers NIPS 2024
Towards More Accurate Diffusion Model Acceleration with A Timestep Tuner CVPR 2024
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy AAAI 2024
Optimal and Approximate Adaptive Stochastic Quantization NIPS 2024
DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024
Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression CVPR 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising NIPS 2024
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation NIPS 2024
How Sparse Can We Prune A Deep Network: A Fundamental Limit Perspective NIPS 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention AAAI 2024
General Tail Bounds for Non-Smooth Stochastic Mirror Descent AISTATS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks NIPS 2024
Rethinking 3D Convolution in $\ell_p$-norm Space NIPS 2024