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Found 17 papers, 4 papers with code
Topic Stability over Noisy Sources
Topic modelling techniques such as LDA have recently been applied to speech transcripts and OCR output.
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools
In this work, we present a modular AI pipeline as an integrating framework to bring data, algorithms, and deployment tools together.
Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings
While machine learning (ML) systems have produced great advances in several domains, their use in support of complex cooperative work remains a research challenge.
Performance-Oriented Neural Architecture Search
Hardware-Software Co-Design is a highly successful strategy for improving performance of domain-specific computing systems.
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Second, the parameter frequency distribution is further adopted to guide the student network to learn the appearance modeling process from the teacher.
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling
In this paper, we propose an end-to-end CNN-LSTM model for generating descriptions for sequential images with a local-object attention mechanism.
Strain-Rate-Dependent Deformation Behavior of Ti29Zr24Nb23Hf24 High Entropy Alloys at Elevated and Room Temperature
Such a softening behavior can be related to the interaction of dislocations with short-range clustering.
Materials Science
BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images.
Ranked #21 on
Visual Storytelling
on VIST
(CIDEr metric)
Learning Video Representations of Human Motion From Synthetic Data
In this paper, we take an early step towards video representation learning of human actions with the help of largescale synthetic videos, particularly for human motion representation enhancement.
Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data
Those genes involved in the TGF-\b{eta} pathway and their crosstalk with the ERBB pathway presented a strong survival prognosis in clinical lung cancer samples.
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation
We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including not only single-person actions but also multi-person interactive actions.
Accurate Fairness: Improving Individual Fairness without Trading Accuracy
We propose in this paper a new fairness criterion, accurate fairness, to align individual fairness with accuracy.
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
In this paper, we introduce InfiAgent-DABench, the first benchmark specifically designed to evaluate LLM-based agents on data analysis tasks.
Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review
This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future directions.
Empowering Large Language Model Agents through Action Learning
Large Language Model (LLM) Agents have recently garnered increasing interest yet they are limited in their ability to learn from trial and error, a key element of intelligent behavior.
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
We present Expert-Token-Routing, a unified generalist framework that facilitates seamless integration of multiple expert LLMs.
