Miscellaneous
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Benchmarks
BIG-bench
Most implemented
Deep Face Recognition: A Survey
Awesome Multi-modal Object Tracking
Joint Statistical and Causal Feature Modulated Face Anti-Spoofing
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Taming the Titans: A Survey of Efficient LLM Inference Serving
Papers
MT-Mol:Multi Agent System with Tool-based Reasoning for Molecular Optimization
Large language models (LLMs) have large potential for molecular optimization, as they can gather external chemistry tools and enable collaborative interactions to iteratively refine molecular candidates. However, this po…
MiscellaneousTaming the Titans: A Survey of Efficient LLM Inference Serving
Large Language Models (LLMs) for Generative AI have achieved remarkable progress, evolving into sophisticated and versatile tools widely adopted across various domains and applications. However, the substantial memory ov…
GPUMiscellaneousSchedulingANCHOLIK-NER: A Benchmark Dataset for Bangla Regional Named Entity Recognition
ANCHOLIK-NER is a linguistically diverse dataset for Named Entity Recognition (NER) in Bangla regional dialects, capturing variations across Sylhet, Chittagong, and Barishal. The dataset has around 10,443 sentences, 3,48…
ArticlesInformation RetrievalMachine TranslationMiscellaneous+4Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
Out-of-distribution (OOD) detection is crucial for developing trustworthy and reliable machine learning systems. Recent advances in training with auxiliary OOD data demonstrate efficacy in enhancing detection capabilitie…
MiscellaneousOut-of-Distribution DetectionOut of Distribution (OOD) DetectionA Comprehensive Survey on Visual Question Answering Datasets and Algorithms
Visual question answering (VQA) refers to the problem where, given an image and a natural language question about the image, a correct natural language answer has to be generated. A VQA model has to demonstrate both the …
DiagnosticMiscellaneousQuestion AnsweringSurvey+2Efficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training
Histopathology whole slide images (WSIs) are being widely used to develop deep learning-based diagnostic solutions, especially for precision oncology. Most of these diagnostic softwares are vulnerable to biases and impur…
Active LearningArtifact DetectionDiagnosticMiscellaneous+2