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Showing papers from University of Adelaide Show all papers

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GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment

Townim Faisal Chowdhury, Ta Duc Huy, Hieu Phan, Anton van den Hengel 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Rethinking Softmax Attention: Polynomial Activations for Transformers

Hemanth Saratchandran, Jianqiao Zheng, Yiping Ji, Wenbo Zhang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Adaptive Covariance and Multi-Layer Alignment for Out-of-Distribution Detection

Haoyang Su, Qi Chen, Max Gutbrod, Johan Verjans 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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GameVerse: A Minute-Scale Gameplay Dataset for Long-Horizon Interactive World Modeling

Kang He, Wenshuo Peng, Chuanhao Li, Zihui Gao and 6 more

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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When Are Predictions Enough? An Evaluation Protocol for Frozen Expert Composition

Alessandro Pereira, Keith J Ransom, Lewis Mitchell

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

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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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MedCache: Training-Free Spatially Aware Caching for Accelerated Medical Video Generation

Ufaq Khan, Umair Nawaz, Sathira Silva, Numan Saeed and 6 more

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Better Language Models Require Better Domain-Specific Inductive Biases

Damien Teney, Liangze Jiang, Zachary Shinnick, Hemanth Saratchandran and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
89%Must read
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LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation

LangMap introduces human-verified hierarchical open-vocabulary navigation benchmarks across scene, room, region, and instance levels with 18K tasks, and PlaNaVid achieves top RGB-only success via planning and memory.

Bo Miao, Weijia Liu, Jun Luo, Lachlan Shinnick and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 53

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
80%Must read
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Scalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video

SAGE adapts 3D geometric foundation models via weak Internet video supervision, reducing zero-shot Chamfer Distance by 20, 42% on unseen benchmarks.

Zihui Gao, Ke Liu, Jiawang Bian, Donny Y. Chen and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5
86%Must read
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TerraVis: Towards Evaluation of World-Grounded Visual Consistency in Text-to-Image Generation via MLLM Workflows

TerraVis evaluates world-grounded visual consistency in generated images via MLLM workflows, correlating best with human judgments while revealing substantial failures in top models.

Shuai Fu, Jing Gu, Jian Zhou, Zicheng Duan and 2 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
91%Must read
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TRACE: Tourism Recommendation with Accountable Citation Evidence

TRACE introduces tourism dialogues pairing multi-turn recommendations with review citations and rejection turns to expose the Three-Competency Gap across accuracy, grounding, and recovery.

Zixu Zhao, SIJIN WANG, Yu Hou, YUANYUAN XU and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 5/5