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VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis

VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis

24 May 2025
Tina Khezresmaeilzadeh
Parsa Razmara
Seyedarmin Azizi
Mohammad Erfan Sadeghi
Erfan Baghaei Portaghloo
    AI4TS
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Papers citing "VISTA: Vision-Language Inference for Training-Free Stock Time-Series Analysis"

31 / 31 papers shown
Title
Preserving Privacy and Utility in LLM-Based Product Recommendations
Preserving Privacy and Utility in LLM-Based Product Recommendations
Tina Khezresmaeilzadeh
Jiang Zhang
Dimitrios Andreadis
Konstantinos Psounis
74
1
0
02 May 2025
Gemma 3 Technical Report
Gemma 3 Technical Report
Gemma Team
Aishwarya B Kamath
Johan Ferret
Shreya Pathak
Nino Vieillard
...
Harshal Tushar Lehri
Hussein Hazimeh
Ian Ballantyne
Idan Szpektor
Ivan Nardini
VLM
139
78
0
25 Mar 2025
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
ReLM
VLM
OffRL
AI4TS
LRM
218
1,503
0
22 Jan 2025
Echoes of Privacy: Uncovering the Profiling Practices of Voice
  Assistants
Echoes of Privacy: Uncovering the Profiling Practices of Voice Assistants
Tina Khezresmaeilzadeh
Elaine Zhu
Kiersten Grieco
Daniel J. Dubois
Konstantinos Psounis
David Choffnes
MLAU
PILM
56
2
0
11 Sep 2024
Fever Detection with Infrared Thermography: Enhancing Accuracy through
  Machine Learning Techniques
Fever Detection with Infrared Thermography: Enhancing Accuracy through Machine Learning Techniques
Parsa Razmara
Tina Khezresmaeilzadeh
B. K. Jenkins
65
6
0
22 Jul 2024
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision
  Transformers
PEANO-ViT: Power-Efficient Approximations of Non-Linearities in Vision Transformers
Mohammad Erfan Sadeghi
A. Fayyazi
Seyedarmin Azizi
Massoud Pedram
53
10
0
21 Jun 2024
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
Ali Abbasi
Fan Dong
Xin Wang
Henry Leung
Jiayu Zhou
Steve Drew
48
2
0
23 Apr 2024
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your
  Phone
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Marah Abdin
Sam Ade Jacobs
A. A. Awan
J. Aneja
Ahmed Hassan Awadallah
...
Li Zhang
Yi Zhang
Yue Zhang
Yunan Zhang
Xiren Zhou
LRM
ALM
90
1,136
0
22 Apr 2024
Gemma: Open Models Based on Gemini Research and Technology
Gemma: Open Models Based on Gemini Research and Technology
Gemma Team
Gemma Team Thomas Mesnard
Cassidy Hardin
Robert Dadashi
Surya Bhupatiraju
...
Armand Joulin
Noah Fiedel
Evan Senter
Alek Andreev
Kathleen Kenealy
VLM
LLMAG
165
460
0
13 Mar 2024
DeepSeek-VL: Towards Real-World Vision-Language Understanding
DeepSeek-VL: Towards Real-World Vision-Language Understanding
Haoyu Lu
Wen Liu
Bo Zhang
Bing-Li Wang
Kai Dong
...
Yaofeng Sun
Chengqi Deng
Hanwei Xu
Zhenda Xie
Chong Ruan
VLM
71
333
0
08 Mar 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
93
2,552
0
01 Dec 2023
Visual Instruction Tuning
Visual Instruction Tuning
Haotian Liu
Chunyuan Li
Qingyang Wu
Yong Jae Lee
SyDa
VLM
MLLM
343
4,607
0
17 Apr 2023
Sigmoid Loss for Language Image Pre-Training
Sigmoid Loss for Language Image Pre-Training
Xiaohua Zhai
Basil Mustafa
Alexander Kolesnikov
Lucas Beyer
CLIP
VLM
83
1,076
0
27 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAG
MLLM
631
13,788
0
15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
813
12,840
0
27 Feb 2023
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference
  Privacy in Machine Learning
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
A. Salem
Giovanni Cherubin
David Evans
Boris Köpf
Andrew Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
84
37
0
21 Dec 2022
DePlot: One-shot visual language reasoning by plot-to-table translation
DePlot: One-shot visual language reasoning by plot-to-table translation
Fangyu Liu
Julian Martin Eisenschlos
Francesco Piccinno
Syrine Krichene
Chenxi Pang
Kenton Lee
Mandar Joshi
Wenhu Chen
Nigel Collier
Yasemin Altun
VLM
ReLM
LRM
63
96
0
20 Dec 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
283
3,458
0
29 Apr 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLM
BDL
VLM
CLIP
446
4,283
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
582
9,009
0
28 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
373
7,600
0
11 Nov 2021
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
93
2,168
0
24 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
175
2,790
0
15 Jun 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
681
28,659
0
26 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
400
40,217
0
22 Oct 2020
A Survey of Convolutional Neural Networks: Analysis, Applications, and
  Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
Zewen Li
Wenjie Yang
Shouheng Peng
Fan Liu
HAI
3DV
86
2,656
0
01 Apr 2020
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series
  Forecasting
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
Bryan Lim
Sercan O. Arik
Nicolas Loeff
Tomas Pfister
AI4TS
90
1,433
0
19 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
270
19,824
0
23 Oct 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
961
93,936
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
453
129,831
0
12 Jun 2017
The Use of Machine Learning Algorithms in Recommender Systems: A
  Systematic Review
The Use of Machine Learning Algorithms in Recommender Systems: A Systematic Review
I. Portugal
Paulo S. C. Alencar
Donald D. Cowan
107
607
0
17 Nov 2015
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