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Showing 1576–1600 of 2646 papers

TitleStatusHype
Efficient Language Modeling with Sparse all-MLP—0
A Proposal to Study "Is High Quality Data All We Need?"—0
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of RedundancyCode1
Backbone is All Your Need: A Simplified Architecture for Visual Object TrackingCode1
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly DetectionCode1
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators—0
Locate This, Not That: Class-Conditioned Sound Event DOA Estimation—0
Smoothing with the Best Rectangle Window is Optimal for All Tapered Rectangle Windows—0
Modelplasticity and Abductive Decision Making—0
Structured Pruning is All You Need for Pruning CNNs at Initialization—0
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Filter-enhanced MLP is All You Need for Sequential RecommendationCode1
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RLCode1
Are All Linear Regions Created Equal?Code0
Message passing all the way up—0
1-WL Expressiveness Is (Almost) All You Need—0
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition—0
Listing Maximal k-Plexes in Large Real-World GraphsCode0
Not All Patches are What You Need: Expediting Vision Transformers via Token ReorganizationsCode1
One Configuration to Rule Them All? Towards Hyperparameter Transfer in Topic Models using Multi-Objective Bayesian OptimizationCode2
On the complexity of All -Best Arms Identification—0
Tracking environmental policy changes in the Brazilian Federal Official GazetteCode0
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning—0
pNLP-Mixer: an Efficient all-MLP Architecture for LanguageCode1
Calibrated Learning to Defer with One-vs-All ClassifiersCode0
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