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Showing 1401–1450 of 2646 papers

TitleStatusHype
Cross-Validation Is All You Need: A Statistical Approach To Label Noise EstimationCode0
Multi-task multi-station earthquake monitoring: An all-in-one seismic Phase picking, Location, and Association Network (PLAN)—0
Inferring the finest pattern of mutual independence from data—0
Can a single image processing algorithm work equally well across all phases of DCE-MRI?—0
One model to rule them all: ranking Slovene summarizers—0
Textbooks Are All You Need—0
Randomized Quantization is All You Need for Differential Privacy in Federated LearningCode0
DropCompute: simple and more robust distributed synchronous training via compute variance reductionCode0
Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous LanguagesCode0
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima—0
CHORUS: Foundation Models for Unified Data Discovery and ExplorationCode0
CANDID: Correspondence AligNment for Deep-burst Image Denoising—0
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception—0
Contrastive Loss is All You Need to Recover Analogies as Parallel LinesCode0
Area is all you need: repeatable elements make stronger adversarial attacks—0
Require Process Control? LSTMc is all you need!—0
Small Temperature is All You Need for Differentiable Architecture Search—0
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?Code0
RITA: Group Attention is All You Need for Timeseries Analytics—0
A Non-Recursive Space-Efficient Blind Approach to Find All Possible Solutions to the N-Queens ProblemCode0
Space Net Optimization—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions—0
Sit Back and Relax: Learning to Drive Incrementally in All Weather ConditionsCode0
Comparing and combining some popular NER approaches on Biomedical tasksCode0
SHARP: Sparsity and Hidden Activation RePlay for Neuro-Inspired Continual LearningCode0
AIMS: All-Inclusive Multi-Level Segmentation—0
NLP Reproducibility For All: Understanding Experiences of BeginnersCode0
Image Quality Is Not All You Want: Task-Driven Lens Design for Image Classification—0
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying ReferencesCode0
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language ModelCode0
All Roads Lead to Rome? Exploring the Invariance of Transformers' RepresentationsCode0
Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models—0
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data—0
Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models—0
PDP: Parameter-free Differentiable Pruning is All You Need—0
Locate and Beamform: Two-dimensional Locating All-neural Beamformer for Multi-channel Speech Separation—0
Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection—0
Cooperation Is All You Need—0
Selective Guidance: Are All the Denoising Steps of Guided Diffusion Important?—0
Unwrapping All ReLU Networks—0
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification—0
Surface EMG-Based Inter-Session/Inter-Subject Gesture Recognition by Leveraging Lightweight All-ConvNet and Transfer Learning—0
OneCAD: One Classifier for All image Datasets using multimodal learning—0
Recursions Are All You Need: Towards Efficient Deep Unfolding NetworksCode0
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation DetectionCode0
All models are local: time to replace external validation with recurrent local validation—0
Cuttlefish: Low-Rank Model Training without All the TuningCode0
Select without Fear: Almost All Mini-Batch Schedules Generalize Optimally—0
Ternary Instantaneous Noise-based Logic—0
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