conftrace_

numerical stability

30 papers

Explore in graph

Co-occurring keywords

orthogonality constraint (18) polynomial solver (17) gaussian process (1200) ordinary differential equation (139) implicit euler method (2) condition number (43) neural network optimization (1293) machine translation (2499) pose estimation (1013) adversarial robustness (1341)

Papers

Risk-Sensitive Exponential Actor Critic AAAI 2026
Multiplicative Orthogonal Sequential Editing for Language Models AAAI 2026
DINT Transformer EMNLP 2025
Efficient Solution of Point-Line Absolute Pose CVPR 2024
Stable Implementation of Probabilistic ODE Solvers JMLR 2024
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees JMLR 2024
Rethinking Human Motion Prediction with Symplectic Integral CVPR 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method EMNLP 2024
The Numerical Stability of Hyperbolic Representation Learning ICML 2023
Revisiting the P3P Problem CVPR 2023
Low-precision arithmetic for fast Gaussian processes UAI 2022
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs AAAI 2022
On Orthogonality Constraints for Transformers ACL 2021
Tangent Space Backpropagation for 3D Transformation Groups CVPR 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021
On Orthogonality Constraints for Transformers IJCNLP 2021
Condition number bounds for causal inference UAI 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers ICML 2021
Differential Spectral Normalization (DSN) for PDE Discovery AAAI 2021
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability ICML 2020
Attentive Pooling with Learnable Norms for Text Representation ACL 2020
Reducing Underflow in Mixed Precision Training by Gradient Scaling IJCAI 2020
A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019
Stability of Linear Structural Equation Models of Causal Inference UAI 2019