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Optimization & Theory

7,804 papers (27 classified directly here)

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Papers (including subtopics)

CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 Cold Analysis of Rao-Blackwellized Straight-Through Gumbel-Softmax Gradient Estimator ICML 2023 CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 COMCAT: Towards Efficient Compression and Customization of Attention-Based Vision Models ICML 2023 CoMFLP: Correlation Measure Based Fast Search on ASR Layer Pruning Interspeech 2023 Common Law Annotations: Investigating the Stability of Dialog System Output Annotations ACL 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent NeurIPS 2023 Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions ICLR 2023 Comprehensive and Delicate: An Efficient Transformer for Image Restoration CVPR 2023 Compressed MoE ASR Model Based on Knowledge Distillation and Quantization Interspeech 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Compressing Transformers: Features Are Low-Rank, but Weights Are Not! AAAI 2023 Compressing Volumetric Radiance Fields to 1 MB CVPR 2023 Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping ICML 2023 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023 Constrained Optimization via Exact Augmented Lagrangian and Randomized Iterative Sketching ICML 2023 Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023 Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering EMNLP 2023 Contrastive Decoding: Open-ended Text Generation as Optimization ACL 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Adam Under Relaxed Assumptions NeurIPS 2023