Optimization
17,731 papers
Papers per year
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768
1,185
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1,651
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2,683
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Papers
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
ICML 2024
What makes unlearning hard and what to do about it
NeurIPS 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
ICLR 2024
When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making
AAAI 2024
When CEGAR Meets Regression: A Love Story in Optimal Classical Planning
AAAI 2024
When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models
EMNLP 2024
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
NAACL 2024
When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
ICLR 2024
When Will Gradient Regularization Be Harmful?
ICML 2024
When will my ML Job finish? Toward providing Completion Time Estimates through Predictability-Centric Scheduling
OSDI 2024
Where Do Large Learning Rates Lead Us?
NeurIPS 2024
Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies
EACL 2024
Who Plays First? Optimizing the Order of Play in Stackelberg Games with Many Robots
RSS 2024
Why are Sensitive Functions Hard for Transformers?
ACL 2024
Why Do We Need Weight Decay in Modern Deep Learning?
NeurIPS 2024
Why is parameter averaging beneficial in SGD? An objective smoothing perspective
AISTATS 2024
Why is SAM Robust to Label Noise?
ICLR 2024
Word Alignment as Preference for Machine Translation
EMNLP 2024
Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
NeurIPS 2024
Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
NeurIPS 2024
WRP: Weight Recover Prune for Structured Sparsity
ACL 2024
X-former Elucidator: Reviving Efficient Attention for Long Context Language Modeling
IJCAI 2024
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
ACL 2024
You Only Need Less Attention at Each Stage in Vision Transformers
CVPR 2024
Your contrastive learning problem is secretly a distribution alignment problem
NeurIPS 2024