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Showing 626–650 of 2646 papers

TitleStatusHype
A learning framework for winner-take-all networks with stochastic synapses—0
All Language Models Large and Small—0
A Convex Parametrization of a New Class of Universal Kernel Functions—0
Cross-Attention is all you need: Real-Time Streaming Transformers for Personalised Speech Enhancement—0
Cross Entropy in Deep Learning of Classifiers Is Unnecessary -- ISBE Error is All You Need—0
Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems—0
A Large Automatically-Acquired All-Words List of Multiword Expressions Scored for Compositionality—0
Are LLMs All You Need for Task-Oriented Dialogue?—0
Could AI change the scientific publishing market once and for all?—0
Covariance matrix filtering and portfolio optimisation: the Average Oracle vs Non-Linear Shrinkage and all the variants of DCC-NLS—0
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring—0
A Configurable Multilingual Model is All You Need to Recognize All Languages—0
Co-Simmate: Quick Retrieving All Pairwise Co-Simrank Scores—0
A Language and Its Dimensions: Intrinsic Dimensions of Language Fractal Structures—0
Are disentangled representations all you need to build speaker anonymization systems?—0
6G Wireless Channel Measurements and Models: Trends and Challenges—0
CrackGAN: Pavement Crack Detection Using Partially Accurate Ground Truths Based on Generative Adversarial Learning—0
Cross-Entropy Is All You Need To Invert the Data Generating Process—0
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification—0
Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap—0
Are all training examples equally valuable?—0
ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity—0
Are All Training Examples Created Equal? An Empirical Study—0
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification—0
All in the (Exponential) Family: Information Geometry and Thermodynamic Variational Inference—0
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