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Optimization

1638 directly classified papers

Papers per year

Papers

FlexiBO: A Decoupled Cost-Aware Multi-objective Optimization Approach for Deep Neural Networks (Abstract Reprint) AAAI 2024
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication NIPS 2024
Scaling Laws in Linear Regression: Compute, Parameters, and Data NIPS 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees NIPS 2024
Soft ascent-descent as a stable and flexible alternative to flooding NIPS 2024
HW-GPT-Bench: Hardware-Aware Architecture Benchmark for Language Models NIPS 2024
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe NIPS 2024
Faster Vocoder: a multi threading approach to achieve low latency during TTS Inference INTERSPEECH 2024
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model CVPR 2024
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024
BOLD: Boolean Logic Deep Learning NIPS 2024
REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters EMNLP 2024
$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling NIPS 2024
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks NIPS 2024
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator NIPS 2024
Boosted Conformal Prediction Intervals NIPS 2024
Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers NIPS 2024
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning NIPS 2024
Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024
LEAD: Exploring Logit Space Evolution for Model Selection CVPR 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Training Binary Neural Networks via Gaussian Variational Inference and Low-Rank Semidefinite Programming NIPS 2024
Efficient Target Propagation by Deriving Analytical Solution AAAI 2024
SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform NIPS 2024