Paper List

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Summary of Spotlesssplats: Ignoring Distractors in 3d Gaussian Splatting, by Sara Sabour et al.
Summary of Cost-aware Bayesian Optimization Via the Pandora’s Box Gittins Index, by Qian Xie and Raul Astudillo and Peter I. Frazier and Ziv Scully and Alexander Terenin
Summary of Segment Anything Without Supervision, by Xudong Wang and Jingfeng Yang and Trevor Darrell
Summary of Data-driven Lipschitz Continuity: a Cost-effective Approach to Improve Adversarial Robustness, by Erh-chung Chen et al.
Summary of Personalized Interpretation on Federated Learning: a Virtual Concepts Approach, by Peng Yan et al.
Summary of Model Predictive Simulation Using Structured Graphical Models and Transformers, by Xinghua Lou et al.
Summary of Idt: Dual-task Adversarial Attacks For Privacy Protection, by Pedro Faustini et al.
Summary of Aces: Automatic Cohort Extraction System For Event-stream Datasets, by Justin Xu et al.
Summary of Llmeasyquant — An Easy to Use Toolkit For Llm Quantization, by Dong Liu et al.
Summary of Finite Basis Kolmogorov-arnold Networks: Domain Decomposition For Data-driven and Physics-informed Problems, by Amanda A. Howard et al.
Summary of Infinigen: Efficient Generative Inference Of Large Language Models with Dynamic Kv Cache Management, by Wonbeom Lee et al.
Summary of Less Is More: Accurate Speech Recognition & Translation Without Web-scale Data, by Krishna C. Puvvada et al.
Summary of Mm-instruct: Generated Visual Instructions For Large Multimodal Model Alignment, by Jihao Liu and Xin Huang and Jinliang Zheng and Boxiao Liu and Jia Wang and Osamu Yoshie and Yu Liu and Hongsheng Li
Summary of Chase: a Causal Heterogeneous Graph Based Framework For Root Cause Analysis in Multimodal Microservice Systems, by Ziming Zhao et al.
Summary of Epoch: Jointly Estimating the 3d Pose Of Cameras and Humans, by Nicola Garau et al.
Summary of Attack on Prompt: Backdoor Attack in Prompt-based Continual Learning, by Trang Nguyen et al.
Summary of Self-supervised Spatial-temporal Normality Learning For Time Series Anomaly Detection, by Yutong Chen et al.
Summary of Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors, by Emma Cramer et al.
Summary of Improving Performance Prediction Of Electrolyte Formulations with Transformer-based Molecular Representation Model, by Indra Priyadarsini et al.
Summary of Modeling the Real World with High-density Visual Particle Dynamics, by William F. Whitney et al.
Summary of Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory, by Wenliang Zhong and Haoyu Tang and Qinghai Zheng and Mingzhu Xu and Yupeng Hu and Liqiang Nie
Summary of Reinforcement Learning For Efficient Design and Control Co-optimisation Of Energy Systems, by Marine Cauz et al.
Summary of Deceptive Diffusion: Generating Synthetic Adversarial Examples, by Lucas Beerens and Catherine F. Higham and Desmond J. Higham
Summary of Divert: Distractor Generation with Variational Errors Represented As Text For Math Multiple-choice Questions, by Nigel Fernandez et al.
Summary of Tabred: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks, by Ivan Rubachev et al.
Summary of The Remarkable Robustness Of Llms: Stages Of Inference?, by Vedang Lad et al.
Summary of Monitoring Latent World States in Language Models with Propositional Probes, by Jiahai Feng et al.
Summary of Lopt: Low-rank Prompt Tuning For Parameter Efficient Language Models, by Shouchang Guo et al.
Summary of Too Good to Be True? Turn Any Model Differentially Private with Dp-weights, by David Zagardo
Summary of Reliable Edge Machine Learning Hardware For Scientific Applications, by Tommaso Baldi (1 and 2) et al.
Summary of Bayesian Calibration Of Stochastic Agent Based Model Via Random Forest, by Connor Robertson et al.
Summary of Off-policy Evaluation with Deeply-abstracted States, by Meiling Hao et al.
Summary of Rethinking Harmless Refusals When Fine-tuning Foundation Models, by Florin Pop et al.
Summary of Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction, by Yuxuan Zhang et al.
Summary of Meta-gradient Search Control: a Method For Improving the Efficiency Of Dyna-style Planning, by Bradley Burega et al.
Summary of Instance-optimal Private Density Estimation in the Wasserstein Distance, by Vitaly Feldman et al.
Summary of On Counterfactual Interventions in Vector Autoregressive Models, by Kurt Butler and Marija Iloska and Petar M. Djuric
Summary of Pathalign: a Vision-language Model For Whole Slide Images in Histopathology, by Faruk Ahmed et al.
Summary of A Survey on Data Quality Dimensions and Tools For Machine Learning, by Yuhan Zhou et al.
Summary of A Survey on Deep Clustering: From the Prior Perspective, by Yiding Lu et al.
Summary of Stochastic Zeroth-order Optimization Under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity, by Qian Yu et al.
Summary of Vartex: Enhancing Weather Forecast Through Distributed Variable Representation, by Ayumu Ueyama et al.
Summary of Scorefusion: Fusing Score-based Generative Models Via Kullback-leibler Barycenters, by Hao Liu et al.
Summary of Averaging Log-likelihoods in Direct Alignment, by Nathan Grinsztajn et al.
Summary of Biseizure: Bert-inspired Seizure Data Representation to Improve Epilepsy Monitoring, by Luca Benfenati et al.
Summary of Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights, by Zeqin Yang et al.
Summary of Tools Fail: Detecting Silent Errors in Faulty Tools, by Jimin Sun et al.
Summary of Flowvqa: Mapping Multimodal Logic in Visual Question Answering with Flowcharts, by Shubhankar Singh et al.
Summary of Revealing Fine-grained Values and Opinions in Large Language Models, by Dustin Wright et al.
Summary of Ntformer: a Composite Node Tokenized Graph Transformer For Node Classification, by Jinsong Chen et al.
Summary of Leveraging Contrastive Learning For Enhanced Node Representations in Tokenized Graph Transformers, by Jinsong Chen et al.
Summary of Advection Augmented Convolutional Neural Networks, by Niloufar Zakariaei et al.
Summary of Stochastic Concept Bottleneck Models, by Moritz Vandenhirtz et al.
Summary of Huatuogpt-vision, Towards Injecting Medical Visual Knowledge Into Multimodal Llms at Scale, by Junying Chen et al.
Summary of From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in Llms by Finetuning on Synthetic Data, By Zheyang Xiong et al.
Summary of Sctree: Discovering Cellular Hierarchies in the Presence Of Batch Effects in Scrna-seq Data, by Moritz Vandenhirtz et al.
Summary of Compositional Image Decomposition with Diffusion Models, by Jocelin Su et al.
Summary of Mcnc: Manifold Constrained Network Compression, by Chayne Thrash et al.
Summary of Mapping Land Naturalness From Sentinel-2 Using Deep Contextual and Geographical Priors, by Burak Ekim and Michael Schmitt
Summary of Jump Starting Bandits with Llm-generated Prior Knowledge, by Parand A. Alamdari et al.
Summary of Livebench: a Challenging, Contamination-free Llm Benchmark, by Colin White et al.
Summary of Efficient World Models with Context-aware Tokenization, by Vincent Micheli et al.
Summary of Emergence Of Hidden Capabilities: Exploring Learning Dynamics in Concept Space, by Core Francisco Park et al.
Summary of Zero-shot Domain Adaptation Based on Dual-level Mix and Contrast, by Yu Zhe et al.
Summary of Gaussian Process-based Online Health Monitoring and Fault Analysis Of Lithium-ion Battery Systems From Field Data, by Joachim Schaeffer et al.
Summary of On Convex Optimization with Semi-sensitive Features, by Badih Ghazi et al.
Summary of Accuracy on the Wrong Line: on the Pitfalls Of Noisy Data For Out-of-distribution Generalisation, by Amartya Sanyal et al.
Summary of Fedmap: Iterative Magnitude-based Pruning For Communication-efficient Federated Learning, by Alexander Herzog and Robbie Southam and Ioannis Mavromatis and Aftab Khan
Summary of A Look Under the Hood Of the Interactive Deep Learning Enterprise (no-idle), by Daniel Sonntag et al.
Summary of Stochastic Gradient Piecewise Deterministic Monte Carlo Samplers, by Paul Fearnhead et al.
Summary of Segment Anything Model For Automated Image Data Annotation: Empirical Studies Using Text Prompts From Grounding Dino, by Fuseini Mumuni et al.
Summary of Dancing in the Shadows: Harnessing Ambiguity For Fairer Classifiers, by Ainhize Barrainkua et al.
Summary of Dimensions Underlying the Representational Alignment Of Deep Neural Networks with Humans, by Florian P. Mahner et al.
Summary of Adaptive Stochastic Weight Averaging, by Caglar Demir et al.
Summary of Chew: a Dataset Of Changing Events in Wikipedia, by Hsuvas Borkakoty et al.
Summary of Towards Learning Abductive Reasoning Using Vsa Distributed Representations, by Giacomo Camposampiero et al.
Summary of A Teacher Is Worth a Million Instructions, by Nikhil Kothari et al.
Summary of Resolving Discrepancies in Compute-optimal Scaling Of Language Models, by Tomer Porian et al.
Summary of Yzs-model: a Predictive Model For Organic Drug Solubility Based on Graph Convolutional Networks and Transformer-attention, by Chenxu Wang et al.
Summary of Advancing Operational Pm2.5 Forecasting with Dual Deep Neural Networks (d-dnet), by Shengjuan Cai et al.
Summary of Heterogeneous Causal Metapath Graph Neural Network For Gene-microbe-disease Association Prediction, by Kexin Zhang et al.
Summary of Towards Reducing Data Acquisition and Labeling For Defect Detection Using Simulated Data, by Lukas Malte Kemeter et al.
Summary of Contrastive Policy Gradient: Aligning Llms on Sequence-level Scores in a Supervised-friendly Fashion, by Yannis Flet-berliac et al.
Summary of Density Ratio Estimation Via Sampling Along Generalized Geodesics on Statistical Manifolds, by Masanari Kimura and Howard Bondell
Summary of Length Optimization in Conformal Prediction, by Shayan Kiyani et al.
Summary of Learning Retrieval Augmentation For Personalized Dialogue Generation, by Qiushi Huang et al.
Summary of Temporally Multi-scale Sparse Self-attention For Physical Activity Data Imputation, by Hui Wei et al.
Summary of Missiongnn: Hierarchical Multimodal Gnn-based Weakly Supervised Video Anomaly Recognition with Mission-specific Knowledge Graph Generation, by Sanggeon Yun et al.
Summary of Lico: Large Language Models For In-context Molecular Optimization, by Tung Nguyen and Aditya Grover
Summary of What Is Missing in Homophily? Disentangling Graph Homophily For Graph Neural Networks, by Yilun Zheng et al.
Summary of Decoding-time Language Model Alignment with Multiple Objectives, by Ruizhe Shi et al.
Summary of Predicting the Duration Of Traffic Incidents For Sydney Greater Metropolitan Area Using Machine Learning Methods, by Artur Grigorev et al.
Summary of From Biased Selective Labels to Pseudo-labels: An Expectation-maximization Framework For Learning From Biased Decisions, by Trenton Chang and Jenna Wiens
Summary of Statistical Test For Feature Selection Pipelines by Selective Inference, By Tomohiro Shiraishi et al.
Summary of Time Matters: Scaling Laws For Any Budget, by Itay Inbar et al.
Summary of Learning Pareto Set For Multi-objective Continuous Robot Control, by Tianye Shu and Ke Shang and Cheng Gong and Yang Nan and Hisao Ishibuchi
Summary of Fine-tuned Network Relies on Generic Representation to Solve Unseen Cognitive Task, by Dongyan Lin
Summary of Semi-adaptive Synergetic Two-way Pseudoinverse Learning System, by Binghong Liu et al.
Summary of Evaluating Ai Group Fairness: a Fuzzy Logic Perspective, by Emmanouil Krasanakis et al.
Summary of Federated Graph Semantic and Structural Learning, by Wenke Huang et al.