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Showing 1201–1250 of 2646 papers

TitleStatusHype
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
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought PromptingCode1
Recursions Are All You Need: Towards Efficient Deep Unfolding NetworksCode0
ImageBind: One Embedding Space To Bind Them AllCode5
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
ALL-E: Aesthetics-guided Low-light Image Enhancement—0
Once and for All: Scheduling Multiple Users Using Statistical CSI under Fixed Wireless Access—0
Appropriateness is all you need!—0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
All Information is Necessary: Integrating Speech Positive and Negative Information by Contrastive Learning for Speech Enhancement—0
Measuring Massive Multitask Chinese UnderstandingCode7
Pipeline MoE: A Flexible MoE Implementation with Pipeline Parallelism—0
How 'one-size-fits-all' public works contract does it better? An assessment of infrastructure provision in Italy—0
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations—0
AMT: All-Pairs Multi-Field Transforms for Efficient Frame InterpolationCode2
All-condition pulse detection using a magnetic sensor—0
It's All in the Embedding! Fake News Detection Using Document EmbeddingsCode0
Shape is (almost) all!: Persistent homology features (PHFs) are an information rich input for efficient molecular machine learning—0
Social Welfare Functions with Voters Qualifications: Impossibility Results—0
Segment Everything Everywhere All at OnceCode1
Are LLMs All You Need for Task-Oriented Dialogue?—0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
Are Local Features All You Need for Cross-Domain Visual Place Recognition?Code1
ChatGPT is all you need to decolonize sub-Saharan Vocational Education—0
Point-and-Shoot All-in-Focus Photo Synthesis from Smartphone Camera Pair—0
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal—0
Does Continual Learning Equally Forget All Parameters?—0
MC-MLP:Multiple Coordinate Frames in all-MLP Architecture for VisionCode0
Attention: Marginal Probability is All You Need?—0
One Transform To Compute Them All: Efficient Fusion-Based Full-Reference Video Quality Assessment—0
Is it conceivable that neurogenesis, neural Darwinism, and species evolution could all serve as inspiration for the creation of evolutionary deep neural networks?—0
All Keypoints You Need: Detecting Arbitrary Keypoints on the Body of Triple, High, and Long Jump AthletesCode0
Retention Is All You Need—0
Effective control of two-dimensional Rayleigh--Bénard convection: invariant multi-agent reinforcement learning is all you needCode1
GUTS: Generalized Uncertainty-Aware Thompson Sampling for Multi-Agent Active Search—0
Astroformer: More Data Might not be all you need for ClassificationCode1
Few-shot Fine-tuning is All You Need for Source-free Domain AdaptationCode0
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior RefinementCode1
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network—0
All You Need Is Sex for Diversity—0
Polarity is all you need to learn and transfer fasterCode0
One Adapter for All Programming Languages? Adapter Tuning for Code Search and SummarizationCode1
unarXive 2022: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation NetworkCode2
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis—0
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