conftrace_

differentiable programming

102 papers

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Co-occurring keywords

neural network (6616) automatic differentiation (77) optimal transport (948) neural network optimization (1293) gradient-based optimization (192) convolutional neural network (4226) end-to-end learning (457) gradient estimation (150) deep learning (2118) policy gradient (520)

Papers

Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable CVPR 2025
PyTorchGeoNodes: Enabling Differentiable Shape Programs for 3D Shape Reconstruction CVPR 2025
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation ICCV 2025
Trace is the Next AutoDiff: Generative Optimization with Rich Feedback, Execution Traces, and LLMs NIPS 2024
Differentiable JPEG: The Devil Is in the Details WACV 2024
Learning to be Smooth: An End-to-End Differentiable Particle Smoother NIPS 2024
Learning Temporal Resolution in Spectrogram for Audio Classification AAAI 2024
Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis INTERSPEECH 2024
Differentiable Quantum Computing for Large-scale Linear Control NIPS 2024
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024
A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics NIPS 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning NIPS 2024
GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies NIPS 2023
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming ACL 2023
Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation ICCV 2023
Neural Field Dynamics Model for Granular Object Piles Manipulation CORL 2023
DiFA: Differentiable Feature Acquisition AAAI 2023
Generalized Differentiable RANSAC ICCV 2023
Machines of Finite Depth: Towards a Formalization of Neural Networks AAAI 2023
Feature Learning for Interpretable, Performant Decision Trees NIPS 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023
Differentiable Model Selection for Ensemble Learning IJCAI 2023
Differentiable and Transportable Structure Learning ICML 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023