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NeurIPS 2026UNISTUlsan National Institute of ScieImage recognition

Towards Better Generalization in Lifelong Person Re-Identification with Flatness-Aware Learning

Seungbin Hong, Sung Whan Yoon, Jae-Young Sim

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Ulsan National Institute of ScieUNISTMulti-agent RL

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning

Yisak Park, Sunwoo Lee, Seungyul Han

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
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NeurIPS 2026UNISTUlsan National Institute of ScieUlsan National Institute of ScieOffline RL

Escaping Path Mirages in Offline Goal-Conditioned Reinforcement Learning

Seungyul Han, Junhyeon Bae, Jaebak Hwang, Gwanwoo Choi and 1 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 0/5
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NeurIPS 2026Korea Advanced Institute of ScieKorea Advanced Institute of ScieKAISTUNISTMulti-agent RL

MASTARS: Multi-Agent Sequential Trajectory Augmentation with Return-Conditioned Subgoals

Jiwon Jeon, Myungsik Cho, Woojun Kim, Seongmin Kim and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026SpotlightKAISTKorea Advanced Institute of ScieUNISTKorea Advanced Institute of ScieMulti-agent RL

Addressing Exogenous Variability in Cooperative Multi-Agent Reinforcement Learning

Seongmin Kim, Woohyeon Byeon, Jiwon Jeon, Seungyul Han and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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80%Must read
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NeurIPS 2026SpotlightKAIST AIUNISTEwha WomansLearning theory

Deep Barycentric Regression for Optimal Transport Map Estimation and its Statistical Optimality

BROT estimates optimal transport maps via barycentric regression with deep networks, achieving minimax optimal convergence rates under Lipschitz conditions with stable training.

Kunwoong Kim, Insung Kong, Yongdai Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 2/5
78%Highly rated
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NeurIPS 2026Seoul NationalUNISTEwha WomansRepresentation & contrastive learning

A Composite Activation Function for Learning Stable Binary Representations

HTAF smoothly approximates Heaviside via a sigmoid-tanh composite to enable stable gradient-based training of binary neural networks, yielding interpretable ICBMs with comparable or superior accuracy.

Seokhun Park, Choeun Kim, Kwanho Lee, Sehyun Park and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
89%Must read
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NeurIPS 2026Ulsan National Institute of ScieUNISTAutoML & architecture search

Agentic Neural Architecture Search

AgentNAS uses LLMs to generate seed architectures decomposed into slotted scaffolds that define bounded search spaces for NAS, achieving state-of-the-art results on 11 of 17 diverse tasks.

Seokhoon Jeong, Mijung Kim, Taehwan Kim

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5
72%Highly rated
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NeurIPS 2026YaleUNISTU TwenteRepresentation & contrastive learning

Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport

HyCNNs combine Maxout and ICNN principles to learn convex functions with exponentially fewer parameters than ICNNs, outperforming baselines in convex regression and optimal transport.

Shayan Hundrieser, Insung Kong, Johannes Schmidt-Hieber

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 1/5