2306.11695] A Simple and Effective Pruning Approach for Large Language Models Skip to

1910.04760] A cost-effective method for improving and re-purposing large, pre-trained GANs

1910.04760] A cost-effective method for improving and re-purposing large, pre-trained GANs

1912.04421] Basis Prediction Networks for Effective Burst Denoising with Large Kernels Skip to main content We

1910.13267] BPE-Dropout: Simple and Effective Subword Regularization Skip to main content We gratefully acknowledge support

1912.04421] Basis Prediction Networks for Effective Burst Denoising with Large Kernels Skip to main content We

2507.00195] What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness Happy

1503.05884] Effective equidistribution and property tau Skip to main content We gratefully acknowledge support

2404.05868] Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning Skip to main content We gratefully

nucl-th/0510023] Five lectures on effective field theory Skip to main content We gratefully acknowledge support from the

2409.18125] LLaVA-3D: A Simple yet Effective Pathway to Empowering LMMs with 3D-awareness Skip to

0708.4040] Effective equidistribution for closed orbits of semisimple groups on homogeneous spaces Skip to

2311.01378] Vision-Language Foundation Models as Effective Robot Imitators Skip to main content We gratefully acknowledge support from

1901.05555] Class-Balanced Loss Based on Effective Number of Samples Skip to main content We gratefully

2504.21489] TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS Happy Open Access Week from arXiv

2311.01378] Vision-Language Foundation Models as Effective Robot Imitators Skip to main content We gratefully acknowledge support from

algebraic unit. His proof depends on Duke's Equidistribution Theorem and is hence non-effective. In this

1910.12755] Two recent p-adic approaches towards the (effective) Mordell conjecture Skip to main content We

a critical area of research. AI text detectors have shown to be effective under their specific settings

In this paper, we propose novel approaches for unconditional GAN compression. We first introduce effective channel pruning and

to help the model learn to determine the most effective solution strategy for

to track and verify training data ownership. Previous data watermarking techniques primarily focus on effective memorization during pretraining, while

In this paper, we propose novel approaches for unconditional GAN compression. We first introduce effective channel pruning and

to track and verify training data ownership. Previous data watermarking techniques primarily focus on effective memorization during pretraining, while

possible interventions for each individual, making the challenge of taking effective action more acute. Even

reconstructing high-fidelity appearance from images taken under extreme illumination variation. Moreover, our approach is particularly effective at recovering view-dependent

to theoretically explain the applicability of the proposed framework. 3) Effective: Comprehensive experimental analysis on

to theoretically explain the applicability of the proposed framework. 3) Effective: Comprehensive experimental analysis on

reconstructing high-fidelity appearance from images taken under extreme illumination variation. Moreover, our approach is particularly effective at recovering view-dependent

object labels through conditional random fields for collective classification, whereas graph neural networks learn effective object representations for

spread. Such approaches can be designed to not only be scalable and effective at assessing veracity of

Learned Discontinuities, by Chenxi Liu and 4 other authors View PDF HTML (experimental) Abstract: Effective representation of 2D

image super-resolution and outpainting, and show that our method is most effective at generating consistent multi

overlook the backbone semantics. Capitalizing on this discovery, we propose a simple yet effective method-termed "FreeU" - that

of the initial noise. Motivated by these observations, we propose a concise yet effective inference sampling strategy, FreeInit

social media, there is a critical need for systems that can provide effective real-time verification of

Sohn and 8 other authors View PDF Abstract: Semi-supervised learning (SSL) provides an effective means of leveraging

fine details or excessive training time. In this paper, we propose an efficient yet effective framework, HumanGaussian, that generates

accurate material and lighting optimization faster than previous work, and is more effective at resolving ambiguities. The

object labels through conditional random fields for collective classification, whereas graph neural networks learn effective object representations for

domain-specific questions. We find that both Reinforced and Unsupervised ICL can be quite effective in the

Learned Discontinuities, by Chenxi Liu and 4 other authors View PDF HTML (experimental) Abstract: Effective representation of 2D

Sohn and 8 other authors View PDF Abstract: Semi-supervised learning (SSL) provides an effective means of leveraging

fine details or excessive training time. In this paper, we propose an efficient yet effective framework, HumanGaussian, that generates

social media, there is a critical need for systems that can provide effective real-time verification of

and is easy to embed in existing networks. It is shown effective on improving object recognition

specific knowledge into the student universal embedding. UDON's distillation approach is not only effective, but also very efficient

and 3 other authors View PDF HTML (experimental) Abstract: Sinusoidal neural networks have been shown effective as implicit neural representations

on six benchmarks spanning pairwise registration and shape assembly. Notably, our unified formulation enables effective joint training on diverse

for a realistic and controllable traffic model backbone, and an effective method to interface

to as Text-Image Pretraining with Spatial awareness (TIPS), leverages two simple and effective insights. First, on textual

17 other authors View PDF HTML (experimental) Abstract: We introduce Chronos, a simple yet effective framework for pretrained

Abstract: Generating realistic human videos remains a challenging task, with the most effective methods currently relying on

along with a shadow map, inferred using a simple and effective technique, to spatially

rank losses and ensures robust training. Secondly, we use a simple yet effective loss function to

In this work, we present pyramid adversarial training (PyramidAT), a simple and effective technique to improve

the number of images per class, leading to long-tailed distributions. An effective and simple

a multi-scale discriminator with a text alignment loss to build an effective conditional GAN-based formulation

specific knowledge into the student universal embedding. UDON's distillation approach is not only effective, but also very efficient