Nectar Track
The Nectar Track highlights emerging ideas and recently published work across machine learning, natural language processing, robotics, and computer vision. The track includes Spotlight presentations for recently accepted work and Exploration Edge presentations for preliminary research.
This page will be updated as paper assignments and presenter details are finalized. For the original call, see the Call for Nectar Track Contributions.
Schedule
Tuesday, May 26
Nectar Track Poster Session 1
Presenters share Spotlight and Exploration Edge contributions in a dedicated poster session.
Thursday, May 28
Nectar Track Poster Session 2
Additional Nectar Track poster presentations.
Nectar Track Presentations
Nectar Track presentations running alongside the main AI and CRV rooms.
Papers
Accepted Nectar Track papers will be listed by presentation track.
Spotlight Track (AI) - Oral session on Thursday 5/28 4:00pm-5:30pm at Diamond Family Auditorium
Recently published or accepted work presented in the AI Nectar Track.
-
SubTrack++ : Gradient Subspace Tracking for Scalable LLM Training
Sahar Rajabi, Nayeema Nonta, Sirisha Rambhatla
- Venue
- NeurIPS 2025
- Area
- Machine Learning
-
Infusing Theory of Mind into Socially Intelligent LLM Agents
EunJeong Hwang, Yuwei Yin, Giuseppe Carenini, Peter West, Vered Shwartz
- Venue
- ACL 2026
- Area
- NLP
-
We Still Don’t Understand High-Dimensional Bayesian Optimization
Colin Doumont, Donney Fan, Natalie Maus, Jacob Gardner, Henry Moss, Geoff Pleiss
- Venue
- AISTATS 2026
- Area
- Machine Learning
-
Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding Data
Shiping Yang, Jie Wu, Wenbiao Ding, Ning Wu, Shining Liang, Ming Gong, Hongzhi Li, Hengyuan Zhang, Angel X Chang, Dongmei Zhang
- Venue
- ACL 2026
- Area
- NLP
-
From flat to hierarchical: Extracting sparse representations with matching pursuit
Valérie Costa, Thomas Fel, Ekdeep Singh Lubana, Bahareh Tolooshams, Demba Ba
- Venue
- NeurIPS 2025
- Area
- Machine Learning
-
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection
Seyed Roozbeh Razavi Rohani, Khashayar Khajavi, Wesley Chung, Mo Chen, Sharan Vaswani
- Venue
- Conference on Lifelong Learning Agents (CoLLAs) 2025
- Area
- Machine Learning
-
Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
Hengyuan Zhang, Shiping Yang, Xiao Liang, Chenming Shang, Yuxuan Jiang, Chaofan Tao, Jing Xiong, Hayden Kwok-Hay So, Ruobing Xie, Angel X Chang, Ngai Wong
- Venue
- ACL 2026
- Area
- NLP
-
Optimistic Actor-Critic with Parametric Policies for Linear Markov Decision Processes
Max Qiushi Lin, Reza Asad, Kevin Tan, Haque Ishfaq, Csaba Szepesvari, Sharan Vaswani
- Venue
- AISTATS 2026
- Area
- Machine Learning
-
People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text
Jenna Russell, Marzena Karpinska, Mohit Iyyer
- Venue
- ACL 2025
- Area
- NLP
-
Reward Engineering for Spatial Epidemic Simulations: A Reinforcement Learning Platform for Individual Behavioral Learning
Radman Rakhshandehroo, Daniel Coombs
- Venue
- TMLR 2026
- Area
- Machine Learning
-
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias
Aida Mohammadshahi, Yani Ioannou
- Venue
- TMLR 2025
- Area
- Machine Learning
- Poster only
Spotlight Track (CRV) - Oral session on Thursday 5/28 4:00pm-5:30pm at SUB Ballroom 5000
Recently published or accepted work presented in the CRV Nectar Track.
-
Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning
Jingtao Tang, Zining Mao, Lufan Yang, Hang Ma
- Venue
- IROS 2025
- Area
- Robotics
- Oral only
-
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions
Payam Jome Yazdian, Rachel Lagasse, Hamid Mohammadi, Eric Liu, Li Cheng, Angelica Lim
- Venue
- IROS 2025
- Area
- Machine Learning
-
GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets
Jingtao Tang, Hang Ma
- Venue
- AAAI 2026
- Area
- Robotics
- Oral only
-
FACT-GS: Frequency-Aligned Complexity-Aware Texture Reparameterization for 2D Gaussian Splatting
Tianhao Xie, Linlian Jiang, Xinxin Zuo, Yang Wang, Tiberiu Popa
- Venue
- CVPR 2026 Findings
- Area
- Vision
-
Semantic Mapping in Indoor Embodied AI - A Survey on Advances, Challenges, and Future Directions
Sonia Raychaudhuri, Angel X. Chang
- Venue
- TMLR 2025
- Area
- Robotics
- Oral only
-
Synthetic Geology: Structural Geology Meets Deep Learning
Simon Ghyselincks, Valeriia Okhmak, Stefano Zampini, George Turkiyyah, David Keyes, Eldad Haber
- Venue
- Journal of Geophysical Research: Machine Learning and Computation 2026
- Area
- Machine Learning
-
Threshold Strategy for Leaking Corner-Free Hamilton-Jacobi Reachability with Decomposed Computations
Chong He, Mugilan Mariappan, Keval Vora, Mo Chen
- Venue
- Conference on Decision and Control (CDC) 2025
- Area
- Robotics
-
PointMAC: Meta-learned Adaptation for Robust Test-time Point Cloud Completion
Linlian Jiang, Rui Ma, Li Gu, Ziqiang Wang, Xinxin Zuo, Yang Wang
- Venue
- NeurIPS 2025
- Area
- Vision
- Oral only
-
Reach-Avoid Differential game with Reachability Analysis for UAVs: A decomposition approach
Minh Bui, Simon Monckton and Mo Chen
- Venue
- Journal of Guidance, Control, and Dynamics 2026
- Area
- Robotics
- Oral only
-
Asymmetric Duos: Sidekicks Improve Uncertainty
Tim G. Zhou, Evan Shelhamer, Geoff Pleiss
- Venue
- NeurIPS 2025
- Area
- Machine Learning
-
Implicit Maximum Likelihood Estimation for Real-time Generative Model Predictive Control
Grayson Lee, Minh Bui, Shuzi Zhou, Yankai Li, Mo Chen, Ke Li
- Venue
- ICRA 2026
- Area
- Robotics
-
UCAN: Unified Convolutional Attention Network for Expansive Receptive Fields in Lightweight Super-Resolution
Cao Thien Tan, Trang Phan Thi Thu, Duc Nghiem Do, Ho Ngoc Anh, Hanyang Zhuang, Duc Dung Nguyen
- Venue
- CVPR 2026
- Area
- Vision
- Poster only
Exploration Edge Track - Posters on Tuesday 5/26 4:00pm-5:30pm and Thursday 5/28 2:00pm-3:30pm at James Douglas Area
Preliminary or early-stage work presented in the Nectar Track.
-
Less is More: Minimal Visual Design in Robots for Effective Social Interaction
Leroy Musa, Aditya Bahuguna, Seyed Erfan Taghiabadi, Ghazal Rafati Saboor Sani, Seyed-Parsa Firouzabadi, Michael Jenkin, James Elder, Meiying Qin
- Area
- Robotics
-
ReCAP: Recursive Prompting for Self-Supervised Category-Level Articulated Pose Estimation from an Image
Linlian Jiang, Zhixiang Chi, Ye Wang, Ziqiang Wang, Rui Ma, Yang Wang, Xinxin Zuo
- Area
- Robotics
-
Hyperbolic Multimodal Representation Learning for Biological Taxonomies
Zeming Gong, Chuanqi Tang, Xiaoliang Huo, Nicholas Pellegrino, Austin T. Wang, Graham W Taylor, Angel X. Chang, Scott C Lowe, Joakim Bruslund Haurum
- Area
- Machine Learning
-
No Adaptation Without Observation: Observability-Constrained Test-Time Prompt Tuning for LiDAR Semantic Segmentation
Linlian Jiang, Wentao Ju, Sadman Rakib Pinon, Jianwei Xian, Zhixiang Chi, Xinxin Zuo, Yang Wang
- Area
- Vision
-
Privacy-Preserving Inference of Deep Differential Logic-Gate Networks under TFHE
Mahmoud Y. M. Yassin, Mahmoud AbdelHafeez Sayed, Mostafa Taha
- Area
- Machine Learning
-
LookWhen? Fast Video Recognition by Learning When, Where, and What to Compute
Ali Salamatian, Anthony Fuller, James R. Green, Leonid Sigal, Evan Shelhamer
- Area
- Vision
-
Spatio-Temporal Swarm Planning on Gaussian Probabilistic Roadmaps
Zining Mao, Jingtao Tang, Dingyi Sun, Lufan Yang, Jiaqi Tan, Hang Ma
- Area
- Robotics
-
Dynamic Duos: Robust Duo Adaptation Under Shift
Alexandre St-Aubin, Evan Shelhamer
- Area
- Vision
-
EvoMAPF: MAPF-LNS Heuristic Discovery with Evolutionary Code Agents
Lufan Yang, Tony Shen, Jiaqi Tan, Hang Ma
- Area
- Robotics
-
HARMONY: Multi-Humanoid Motion Coordination via Diffusion Planning & Learning-Based Control
Lufan Yang, Dun Yang, Yanshu Zhang, Jiaqi Tan, Ke Li, Hang Ma
- Area
- Robotics
-
Exploring a Minimalist Bipedal Robot Platform with Hip Actuation for Learning-Based Control
Junhui Li and Amy R. Wu
- Area
- Robotics
-
PhantomBench: Benchmarking the Non-existential Threat of Language Models
Haeji Jung, Hila Gonen
- Area
- NLP
-
Augmented Lagrangian Method for Last-Iterate Convergence for Constrained MDPs
Michael Lu, Max Qiushi Lin, Mo Chen, Sharan Vaswani
- Area
- Machine Learning
-
Velocity-Corrected Rectified Flow for Volumetric Cross-Modality Medical Image Synthesis
Mobina Rafieipour, Pouya Shiri, Xin Yi, Neel P. Mistry, Seokbum Ko, Amirali Baniasadi, Scott J. Adams
- Area
- Machine Learning
-
The Ballbot: An Autonomous Tennis Ball Collection Robot
Dr. Yize Chen, Erik Lamey, Ben McCrea, Ian Ference, Matt Wall, and Cadon Irwin
- Area
- Robotics
-
Towards Building a Trustworthy Platform for Document Intelligence
Gona Rahmaniani, Samira Ebrahimi Kahou, Laleh Behjat
- Area
- NLP
-
Towards Semantic-Aware Aerial Object Retrieval: A VLM-Augmented Behavior Tree Approach
Mohammad Soltanshah, Abolfazl Eskandarpour, Kamal Gupta, and Mehran Mehrandezh
- Area
- Robotics
-
When Background Takes Center Stage: Impact and Scope of Semantic Leakage in LLMs
Hazel Chen, Peter West, Hila Gonen
- Area
- NLP
-
VCRF: Velocity-Corrected Rectified Flow for Volumetric Cross Modality Medical Image Synthesis
Pouya Shiri, Mobina Rafieipour, Xin Yi, Neel P. Mistry, Amirali Baniasadi, Scott J. Adams
- Area
- Machine Learning
-
Changing Modalities by Cross-Band Transfer, Addition, and Peeking
Tim G. Zhou, Anthony Fuller, Geoff Pleiss, Evan Shelhamer
- Area
- Vision
-
Imitation-Free Diffusion Policy Training for Humanoid Footstep Planning
Radman Rakhshandehroo, Nicholas Ioannidis, Michiel van de Panne
- Area
- Robotics
-
Scaling Diverse Language Generation for 3D Visual Grounding
Austin T. Wang, Dongchen Yang, Angel X. Chang
- Area
- Vision
-
Cluster to Abstract: Efficient Visual Abstraction via Cluster Distillation
Yu-Chu Yu,Leonid Sigal,Evan Shelhamer
- Area
- Vision
-
Geometrically Principled Randomized Optimization for Efficient LLM Training
Sahar Rajabi, Nayeema Nonta, Samanvay Vajpayee, Sirisha Rambhatla
- Area
- Machine Learning
-
ReVSI: Rebuilding Visual Spatial Intelligence Evaluation for Accurate Assessment of VLM 3D Reasoning
Yiming Zhang, Jiacheng Chen, Jiaqi Tan, Yongsen Mao, Wenhu Chen, Angel X Chang
- Area
- Vision
-
NeuMoSync: End-to-End Neuromodulatory Control for Plasticity and Adaptability in Continual Learning
Seyed Roozbeh Razavi Rohani , Khashayar Khajavi, Wesley Chung, Mandana Samiei, Mo Chen
- Area
- Machine Learning
-
Drone Based Water Monitoring for Optimal Information Gain
Desmond Davies, William Ronan, Grace Quan, Ross Mcculloch, Philippe Tortell, Adrien Desjardins, Dominic Liao-McPherson
- Area
- Robotics
-
Private and Stable Test-time Adaptation with Differential Privacy
Zefeng Li, Qiaoyue Tang, Mathias Lecuyer, Evan Shelhamer
- Area
- Vision
-
Adapting Vision-Language-Action Models for Human-to-Robot Handover
Morteza Badali, Hamid Mohammadi, Mehran Mehrandezh, Mo Chen, Angelica Lim, Kamal Gupta
- Area
- Robotics
-
pi-IMLE: Fast Single-Step Action Generation For Vision Language Action Models
Kian Hosseinkhani, George Shramko, Mehran Aghabozorgi, Qinhe Peng, Jianing Qian, Tristan Engst, Alireza Moazeni, Dinesh Jayaraman, Ke Li
- Area
- Robotics
-
Implicit Maximum Likelihood Estimation Improves Masked Autoencoders
Tristan Engst, Alireza Moazeni, Ke Li
- Area
- Machine Learning
-
Green TTA: Benchmarking the Energy Consumption of Test-Time Adaptation
Vivian White and Evan Shelhamer
- Area
- Machine Learning
-
STAR-GNN: Scalable Graph Neural Reinforcement Learning for Collision-Aware Online Multi-Robot Task Allocation
Yifan Yang, Jiaqi Tan, Hang Ma
- Area
- Machine Learning
