Journal and Conferences

[C]  Hassan A., Shinde, T., “Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection.” 

Proceedings of AAAI 2026 Conference on Artificial Intelligence, Student Abstract and Poster Program (SAPP). Singapore 🇸🇬

Aisha, selected for the AAAI 2026 Travel Grant ($1250) and Registration Grant (~$600).

[C]  Saha, R., Shinde, T., “Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction.” 

Proceedings of AAAI 2026 Conference on Artificial Intelligence, Student Abstract and Poster Program (SAPP). Singapore 🇸🇬

Rohan, selected for the AAAI 2026 Travel Grant ($1000) and Registration Grant (~$600).

[C]  Shinde, T., Saha, R., “CADResNet: Lightweight Multi-Task Learning for Multi-Label and Valence-Arousal-Dominance Prediction from Bodily Emotional Expressions.” 

Accepted in AAAI 2026 workshop on Bodily Expressed Emotion Understanding (BEEU). Singapore 🇸🇬

[C]  Vyas, S., Shinde, T., “Towards Efficient Foundation Vision Transformers for Multi-Scale Chest X-Ray Analysis via Distillation, Compression, and Coreset Learning.” 

Accepted in AAAI 2026 workshop on Health Intelligence (W3PHIAI). Singapore 🇸🇬

[C]  Sharma, A.K., Shinde, T., “Modeling Chain-of-Thought Degradation in Pruned Language Models: Fidelity and Similarity Analysis for Mathematical Reasoning.” 

Accepted in AAAI 2026 Bridge on Logical and Symbolic Reasoning in Language Models. Singapore 🇸🇬

[C]  Shinde, T., Sharma, A.K., “Are Binary Neural Networks Input Bit-Invariant? Optimizing Sensor-Model Systems with Mean Hassanat Distance.” 

Proceedings of NeurIPS 2025 (PMLR Proceedings Track) workshop on Learning to Sense. USA 🇺🇸

Avinash, selected for the NeurIPS 2025 Scholar Award. 

[CP]  Sharma, A.K., Shinde, T., “How Weight Pruning Destroys Chain-of-Thought Reasoning in Language Reasoning Models: A Model Similarity and Faithfulness Correlation Analysis.” 

In NeurIPS 2025 workshop on Efficient Reasoning. USA 🇺🇸

[CP]  Hassan A., Shinde, T., “eFinBERT: Efficient Financial Sentiment Classification.” 

In NeurIPS 2025 workshop on Generative AI in Finance. USA 🇺🇸

Aisha, selected for the GenAIinFinance@NeurIPS 2025 Travel Grant ($800). 

[CP]  Shinde, T., Saha R., “Hybrid XGBoost-PINN Multi-Stage Framework for Scalable Building Temperature Prediction.” In

In NeurIPS 2025 workshop on UrbanAI: Harnessing Artificial Intelligence for Smart Cities. USA 🇺🇸

[CP]  Hassan A., Shinde, T., “Optimized Statistical Ranking is All You Need for Robust Coreset Selection in Efficient Transformer-Based Spam Detection.” 

In NeurIPS 2025 workshop on OPT: Optimization for Machine Learning. USA 🇺🇸

[CP]  Shinde, T., Madabhushi, M., “Data-Efficient and Robust Coreset Selection via Sparse Adversarial Perturbations.” 

In NeurIPS 2025 workshop on Reliable ML from Unreliable Data. USA 🇺🇸

[CP]  Hassan A., Shinde, T., “Efficient Spam Detection with Sentence-BERT using Adaptive Uncertainty-Diversity Ranking Coresets.”

In NeurIPS 2025 workshop on Women in Machine Learning. USA 🇺🇸

Aisha, selected for the WiML@NeurIPS 2025 Travel Grants of $2,586.71.

[CP]  Chaubey A., Shinde, T., “From National Goals to Industry Action: AI-Driven Forecasting of India’s Carbon Emissions.” 

In NeurIPS 2025 workshop on Women in Machine Learning. USA 🇺🇸

Anushka, selected for the WiML@NeurIPS 2025 Travel Grants of $1,423.93.

Anushka, selected for the NeurIPS 2025 Scholar Award. 

[CP]  Gaurhar, S., Shinde, T., Tiwari, A. K., “Resource-Efficient ECG Foundation Networks via Layer-wise Adaptive Compression.”

In NeurIPS 2025 workshop on Foundation Models for the Brain and Body. USA 🇺🇸

Dr. Shinde, selected a NeurIPS 2025 Travel Award ($1,500) from BrainBodyFM.

[C]  Bhardwaj S., Lebreton P., Shinde, T., Callet P. Le, “Introducing VMAFAC, a Visual Quality Metric for Asymmetric Video Coding: Use Case on Sport Video Content.” 

IEEE Picture Coding Symposium (PCS) 2025. Germany 🇩🇪

[C]  Sharma, A.K., Hassan A., Shinde, T., “Towards Efficient FinBERT via Quantization and Coreset for Financial Sentiment Analysis.” 

EMNLP 2025 workshop on Financial Technology and Natural Language Processing 2025. China 🇨🇳

[C]  Sharma, A.K., Shinde, T., “Efficient Generative Defect Synthesis for Industrial Anomaly Detection on MVTec AD.” 

IEEE International Workshop on Multimedia Signal Processing MMSP 2025. China 🇨🇳

[C]  Eswaran S., Shinde, T., “Multi-Style Perceptual Quality Assessment of AI-Generated Images Using Temperature-Calibrated Fusion.” 

BMVC 2025 Conference workshop on Media Authenticity in the Age of Artificial Intelligence. UK 🇬🇧

[C]  Bhardwaj S., Shinde, T., “Adaptive Compression of Large Vision Models for Efficient Image Quality Assessment of AI-Generated Content.”  

ICCV 2025 Conference workshop on Efficient Computing under Limited Resources (ECLR). USA 🇺🇸

Shivam, received ICCV25 Broadening Participation Grant ($900) and Registration Grant ($675)

Dr. Shinde, received ICCV25 Broadening Participation Grant ($600) and Registration Grant ($900)

[C]  Shinde, T., “High-Performance Lightweight Vision Models for Land Cover Classification with Coresets and Compression.”

ICML 2025 Conference workshop on TerraBytes. Canada 🇨🇦

Selected for the travel grant (registration support) from Terrabytes@ICML 2025.

[C]  Saha, R., Shinde, T., “Scalable Building Temperature Prediction for Smart HVAC Control: A Multi-Stage Learning Framework.”

ICML 2025 Conference workshop on CO-BUILD Computational Optimization of Buildings. Canada 🇨🇦

🥈 2nd Prize ($500) in CO-BUILD Competition ICML 2025.

[C]  Nithyanand, M., Srivastava, V., Vyas, S., Shinde, T., “TWINSHIELD: A Dual Phase System for Detecting and Extracting Backdoors in VLMs.”

IEEE International Conference on Image Processing ICIP 2025. USA 🇺🇸

[C]  Shinde, T., “Towards Optimal Layer Ordering for Efficient Model Compression via Pruning and Quantization.”

IEEE International Conference on Digital Signal Processing DSP 2025. Greece 🇬🇷

[CP] S. Gaurhar, S. Rukhsar, Tiwari, A.K., and Shinde, T.S., "EdgeHeart: Real-Time Detection of Cardiac Conduction Disorders on Edge Devices."

IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2025. (Show and Tell Session) India 🇮🇳

[C]  Shinde, T., Eswaran S., “Uncertainty-guided Style-aware Probabilistic Perceptual Quality Assessment for AI-Generated Images.”

Proceedings of the CVPR 2025 Conference workshop. USA 🇺🇸

Shivaanee, selected for the travel grant from WiCV@CVPR 2025.

[C]  Shinde, T., “An Efficient and Scalable Framework for Lightweight Crop Disease Recognition in Low-Resource Settings.”

Proceedings of the CVPR 2025 Conference workshop on Agriculture-Vision. USA 🇺🇸

[CP]  Bhardwaj S., Shinde, T., “Towards Efficient Vision Transformers for Perceptual Quality Assessment of Diffusion-Generated Images.”  

Accepted in CVPR 2025 Conference workshop on Generative Models for Computer Vision. USA 🇺🇸

[CP] Sharma, A.K., Shinde, T., “Generative Defect Synthesis for Enhancing Industrial Anomaly Detection.” 

Accepted in CVPR 2025 Conference workshop on Generative Models for Computer Vision. USA 🇺🇸

[CP] Shinde, T., Vuai A. S., "Efficient Land-Cover Image Classification via Mixed Bit-Precision Quantization." 

Accepted in ICLR 2025 Conference workshop on Machine Learning for Remote Sensing. Singapore 🇸🇬

Ahmed, selected for the €1500 travel grant from ML4RS@ICLR 2025.

[CP] Shinde, T., Sharma, A.K., "Scalable and Efficient Multi-Weather Classification for Autonomous Driving with Coresets, Pruning, and Resolution Scaling." 

Accepted in ICLR 2025 Conference workshop on Machine Learning Multiscale Processes. Singapore 🇸🇬

[C] Shinde, T., "Model Compression Meets Resolution Scaling for Efficient Remote Sensing Classification." 

Proceedings of the WACV 2025 Conference workshop on Computer Vision for Earth Observation (CV4EO) Applications. USA 🇺🇸

[C] Shinde, T., Bhardwaj S., "Mixed-Precision is All You Need for Efficient Document Image Classification." 

Proceedings of the WACV 2025 Conference workshop on Computer Vision Systems for Document Analysis and Recognition. USA 🇺🇸

[C] Shinde, T., Sharma A. K., Bhardwaj S., Vuai A. S., "Navigating Coreset Selection and Model Compression for Efficient Maritime Image Classification." 

Proceedings of the WACV 2025 Conference workshop on Maritime Computer Vision. USA 🇺🇸

[C] Shinde, T., Jain R., Sharma A. K., "Lightweight Neural Networks for Speech Emotion Recognition using Layer-wise Adaptive Quantization." 

Proceedings of The 4th NeurIPS Efficient Natural Language and Speech Processing Workshop, PMLR 262:584-595, 2024. Canada 🇨🇦

[CP] Shinde, T., "Adaptive Quantization and Pruning of Deep Neural Networks via Layer Importance Estimation." [paper]

Accepted in NeurIPS 2024 workshop on Machine Learning and Compression. Canada 🇨🇦

[CP] Shinde, T., Jain R., Sharma A. K., "Layer-Importance Guided Adaptive Quantization for Efficient Speech Emotion Recognition." [paper]

Accepted in NeurIPS 2024 workshop on Machine Learning and Compression. Canada 🇨🇦

[C] Shinde, T., Naik, S., "Adaptive Quantization of Deep Neural Networks via Layer Importance Estimation." 

International Conference on Computer Vision & Image Processing CVIP, 2024. India 🇮🇳

[C] Shinde, T., "Adaptive Pixel-based Efficient Motion Search for Surveillance Video Coding." [paper]

IEEE Image Processing Theory, Tools and Applications IPTA 2024. Morocco 🇲🇦

[CP] Shinde, T. et al., "Deep learning based Three-dimensional Radiation Dose Prediction with Dose level Guidance-a Spine SBRT example."

International Conference on the use of Computers in Radiation Therapy ICCR 2024. France 🇫🇷

[CP] Shinde, T. et al., "Dose Level Prediction Using Off-the-Shelf Segmentation Network-a Spine SBRT Example." [link]

American Association of Physicists in Medicine (AAPM) 2023. USA 🇺🇸

[C] Shinde, T., "Adaptive Pixel-based Direction Oriented Fast Motion Estimation for Predictive Coding." [paper]

IEEE Picture Coding Symposium (PCS) 2022 (pp. 331-335). USA 🇺🇸

[J] Lin, W., He, X., Dai, W., See, J., Shinde, T., Xiong, H. and Duan, L., "Key-point sequence lossless compression for intelligent video analysis." [paper]

IEEE MultiMedia, 27(3), pp.12-22. 2020.

[J] Shinde, T.S., Tiwari, A.K., Lin, W. and Shen, L., "Background foreground boundary aware efficient motion search for surveillance videos." [paper]

Signal Processing: Image Communication, 82, p.115775. 2020.

[J] Lin, W., Shinde, T.S., Dai, W., Liu, M., He, X., Tiwari, A.K. and Xiong, H., "Adaptive lossless compression of skeleton sequences." [paper]

Signal Processing: Image Communication, 80, p.115659. 2020.

[C] Shinde, T.S., Tiwari, A.K. and Lin, W., "Low-complexity adaptive switched prediction-based lossless compression of time-lapse hyperspectral image data." [paper]

IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019, (pp. 1-5). IEEE. Canada 🇨🇦

[CP] Shinde, T., "Efficient motion estimation and predictive coding methods for compression of Spatio-temporal sequences". [link]

IEEE Global Conference on Signal and Information Processing (GlobalSIP) 2019, IEEE. (Graduate Student Research Paper). Canada 🇨🇦

[C] Shinde, T., "Efficient image set compression." [link]

IEEE International Conference on Image Processing (ICIP) 2019 (pp. 3016-3017). IEEE. Taiwan 🇹🇼 

[C] Shinde, T.S. and Tiwari, A.K., "Pruning SIFT & SURF for efficient clustering of near-duplicate images." [paper]

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019 (pp. 3132-3136). IEEE. United Kingdom 🇬🇧

[J] Shinde, T.S. and Tiwari, A.K., "Efficient direction‐oriented search algorithm for block motion estimation." [paper]

IET Image Processing, 12(9), pp.1567-1576. 2018.

• J - Journal Proceedings,

• C - Conference Proceedings,

• CP - Poster (Non-Archival)