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Optimization

1638 directly classified papers

Papers per year

Papers

Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024
Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling NIPS 2024
Integrating GNN and Neural ODEs for Estimating Non-Reciprocal Two-Body Interactions in Mixed-Species Collective Motion NIPS 2024
ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate NIPS 2024
Constrained Probabilistic Mask Learning for Task-Specific Undersampled MRI Reconstruction WACV 2024
Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024
SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024
Even Sparser Graph Transformers NIPS 2024
Optimal First-Order Algorithms as a Function of Inequalities JMLR 2024
The Star Geometry of Critic-Based Regularizer Learning NIPS 2024
Rewrite the Stars CVPR 2024
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments CVPR 2024
Favoring One Among Equals - Not a Good Idea: Many-to-One Matching for Robust Transformer Based Pedestrian Detection WACV 2024
2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution NIPS 2024
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map NIPS 2024
Optimizing Diffusion Noise Can Serve As Universal Motion Priors CVPR 2024
Faster Vocoder: a multi threading approach to achieve low latency during TTS Inference INTERSPEECH 2024
DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation AAAI 2024
Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor NIPS 2024
Group and Shuffle: Efficient Structured Orthogonal Parametrization NIPS 2024
OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations NIPS 2024
Symmetry-Informed Governing Equation Discovery NIPS 2024
PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
AdaZeta: Adaptive Zeroth-Order Tensor-Train Adaption for Memory-Efficient Large Language Models Fine-Tuning EMNLP 2024
Layer-Wise Auto-Weighting for Non-Stationary Test-Time Adaptation WACV 2024