Posters

Pixelsmith: Generate gigapixel images with a single GPU, surpassing limitations of existing methods through a cascading approach and innovative guidance mechanism.

Zero Graves-Lai constant ensures both bounded regret and delay robustness in online decision-making, particularly for linear models.

PASTA: A novel modular framework boosts MOT tracker generalization by using parameter-efficient fine-tuning and avoiding negative interference through specialized modules for various scenario attribut…

Decision Mamba (DeMa) outperforms Decision Transformer (DT) in offline RL trajectory optimization with 30% fewer parameters in Atari and a quarter in MuJoCo, demonstrating the efficacy of Mamba’s line…

In strategic settings, repeated interactions alone may not enable uninformed players to achieve optimal outcomes, highlighting the persistent impact of information asymmetry.

Cross-validation isn’t always superior; simple plug-in methods often perform equally well for estimating out-of-sample model performance, especially when considering computational costs.

SpatialEval benchmark reveals that current vision-language models struggle with spatial reasoning, highlighting the need for improved multimodal models that effectively integrate visual and textual in…

IRCAN tackles LLM knowledge conflicts by identifying and reweighting context-aware neurons, significantly improving context-sensitive outputs.

IR-CM: One-step image restoration using a novel consistency model for fast and universal performance.

IQA-EVAL: An automatic evaluation framework uses LLMs to simulate human-AI interactions and evaluate interactive question answering, achieving high correlation with human judgments.

This paper introduces IPO, a novel interpretable prompt optimizer for vision-language models. IPO uses large language models (LLMs) to dynamically generate human-understandable prompts, improving acc…

IPM-LSTM accelerates nonlinear program solving by up to 70% using LSTM networks to approximate linear system solutions within the interior point method.

IODA achieves efficient one-shot domain adaptation for super-resolution using a novel instance-guided strategy and image-level domain alignment, significantly improving performance with limited target…

Invertible Consistency Distillation (iCD) achieves high-quality image editing in ~7 steps by enabling both fast editing and strong generation using a generalized distillation framework and dynamic cla…

InversionView unveils neural network inner workings by decoding information from activations. It identifies inputs producing similar activations, revealing the information content. Case studies on v…

InvBO: Inversion-based Latent Bayesian Optimization solves the misalignment problem in LBO, boosting optimization accuracy and efficiency.

Unlocking efficient non-negative function approximation: This paper introduces inverse M-kernels, enabling flexible, linear universal approximators for one-dimensional inputs.

New multi-agent imitation learning algorithm (MIFQ) leverages inverse soft Q-learning and factorization for stable, efficient training, achieving state-of-the-art results on challenging benchmarks.

Mat2Seq revolutionizes crystal structure generation using language models by creating unique, invariant 1D sequences from 3D crystal structures, enabling accurate and efficient crystal discovery with …

Generalized eigenvalue problems get solved in nearly matrix multiplication time, providing new, faster PCA algorithms!