Co-occurring keywords · papers mentioning both
Papers
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
ACL 2024
What Makes and Breaks Safety Fine-tuning? A Mechanistic Study
NeurIPS 2024
What Makes Language Models Good-enough?
ACL 2024
What Makes Models Compositional? A Theoretical View
IJCAI 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
ICLR 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
NeurIPS 2024
When are dynamical systems learned from time series data statistically accurate?
NeurIPS 2024
When Good and Reproducible Results are a Giant with Feet of Clay: The Importance of Software Quality in NLP
ACL 2024
Where Do Large Learning Rates Lead Us?
NeurIPS 2024
Where Elegance Meets Precision: Towards a Compact, Automatic, and Flexible Framework for Multi-modality Image Fusion and Applications
IJCAI 2024
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
ICLR 2024
Wide Two-Layer Networks can Learn from Adversarial Perturbations
NeurIPS 2024
Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket Hypothesis
AAAI 2024
xLSTM: Extended Long Short-Term Memory
NeurIPS 2024
YOLOPitch: A Time-Frequency Dual-Branch YOLO Model for Pitch Estimation
Interspeech 2024
ZipIt! Merging Models from Different Tasks without Training
ICLR 2024
$E(2)$-Equivariant Vision Transformer
UAI 2023
H-Consistency Bounds for Pairwise Misranking Loss Surrogates
ICML 2023
A^2CiD^2: Accelerating Asynchronous Communication in Decentralized Deep Learning
NeurIPS 2023
$α$-MDF: An Attention-based Multimodal Differentiable Filter for Robot State Estimation
CoRL 2023
3D Human Pose Lifting with Grid Convolution
AAAI 2023
A Blessing of Dimensionality in Membership Inference through Regularization
AISTATS 2023
A Boundary Offset Prediction Network for Named Entity Recognition
EMNLP 2023
Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses
CVPR 2023
Accelerated Training via Incrementally Growing Neural Networks using Variance Transfer and Learning Rate Adaptation
NeurIPS 2023