Paper List
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Summary of Aioli: a Unified Optimization Framework For Language Model Data Mixing, by Mayee F. Chen et al.
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Summary of Differential Privacy Under Class Imbalance: Methods and Empirical Insights, by Lucas Rosenblatt et al.
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Summary of Topology-aware Reinforcement Feature Space Reconstruction For Graph Data, by Wangyang Ying et al.
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Summary of Discovering Latent Structural Causal Models From Spatio-temporal Data, by Kun Wang et al.
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Summary of Inversion-based Latent Bayesian Optimization, by Jaewon Chu et al.
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Summary of Controlling Grokking with Nonlinearity and Data Symmetry, by Ahmed Salah et al.
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Summary of A Quality-centric Framework For Generic Deepfake Detection, by Wentang Song et al.
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Summary of Red: Residual Estimation Diffusion For Low-dose Pet Sinogram Reconstruction, by Xingyu Ai et al.
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Summary of Reinforcement Learning For Adaptive Resource Scheduling in Complex System Environments, by Pochun Li et al.
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Summary of Machine Learning For Prediction Of Dose-volume Histograms Of Organs-at-risk in Prostate Cancer From Simple Structure Volume Parameters, by Saheli Saha et al.
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Summary of Ev2r: Evaluating Evidence Retrieval in Automated Fact-checking, by Mubashara Akhtar et al.
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Summary of Advancing Meteorological Forecasting: Ai-based Approach to Synoptic Weather Map Analysis, by Yo-hwan Choi et al.
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Summary of Weathergfm: Learning a Weather Generalist Foundation Model Via In-context Learning, by Xiangyu Zhao et al.
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Summary of Post-hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields, by Yassine Abbahaddou et al.
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Summary of The Sampling Complexity Of Learning Invertible Residual Neural Networks, by Yuanyuan Li et al.
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Summary of Generalization, Expressivity, and Universality Of Graph Neural Networks on Attributed Graphs, by Levi Rauchwerger and Stefanie Jegelka and Ron Levie
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Summary of Bridging the Gap Between Learning and Inference For Diffusion-based Molecule Generation, by Peidong Liu et al.
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Summary of The Limits Of Differential Privacy in Online Learning, by Bo Li et al.
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Summary of Fggp: Fixed-rate Gradient-first Gradual Pruning, by Lingkai Zhu et al.
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Summary of Towards Lifelong Few-shot Customization Of Text-to-image Diffusion, by Nan Song et al.
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Summary of Training Objective Drives the Consistency Of Representational Similarity Across Datasets, by Laure Ciernik and Lorenz Linhardt and Marco Morik and Jonas Dippel and Simon Kornblith and Lukas Muttenthaler
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Summary of Network Em Algorithm For Gaussian Mixture Model in Decentralized Federated Learning, by Shuyuan Wu et al.
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Summary of Open-set Object Detection: Towards Unified Problem Formulation and Benchmarking, by Hejer Ammar et al.
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Summary of Exploring How Generative Mllms Perceive More Than Clip with the Same Vision Encoder, by Siting Li et al.
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Summary of Explainable Ai Through a Democratic Lens: Dhondtxai For Proportional Feature Importance Using the D’hondt Method, by Turker Berk Donmez
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Summary of Hardware and Software Platform Inference, by Cheng Zhang et al.
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Summary of Private Algorithms For Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry, by Raef Bassily et al.
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Summary of Anticipatory Understanding Of Resilient Agriculture to Climate, by David Willmes et al.
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Summary of Solving Hidden Monotone Variational Inequalities with Surrogate Losses, by Ryan D’orazio et al.
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Summary of Don’t Look Twice: Faster Video Transformers with Run-length Tokenization, by Rohan Choudhury et al.
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Summary of Generalizable Single-source Cross-modality Medical Image Segmentation Via Invariant Causal Mechanisms, by Boqi Chen et al.
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Summary of Pruning the Path to Optimal Care: Identifying Systematically Suboptimal Medical Decision-making with Inverse Reinforcement Learning, by Inko Bovenzi et al.
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Summary of Performative Reinforcement Learning with Linear Markov Decision Process, by Debmalya Mandal et al.
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Summary of Generating Highly Designable Proteins with Geometric Algebra Flow Matching, by Simon Wagner et al.
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Summary of Zipnn: Lossless Compression For Ai Models, by Moshik Hershcovitch et al.
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Summary of Decoding Report Generators: a Cyclic Vision-language Adapter For Counterfactual Explanations, by Yingying Fang et al.
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Summary of Cancer-net Sca-synth: An Open Access Synthetically Generated 2d Skin Lesion Dataset For Skin Cancer Classification, by Chi-en Amy Tai et al.
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Summary of Distributed-order Fractional Graph Operating Network, by Kai Zhao et al.
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Summary of Gpt Semantic Cache: Reducing Llm Costs and Latency Via Semantic Embedding Caching, by Sajal Regmi et al.
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Summary of Fox-1 Technical Report, by Zijian Hu et al.
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Summary of On Training Of Kolmogorov-arnold Networks, by Shairoz Sohail
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Summary of Saswise-ue: Segmentation and Synthesis with Interpretable Scalable Ensembles For Uncertainty Estimation, by Weijie Chen and Alan Mcmillan
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Summary of Hourvideo: 1-hour Video-language Understanding, by Keshigeyan Chandrasegaran et al.
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Summary of Recapture: Generative Video Camera Controls For User-provided Videos Using Masked Video Fine-tuning, by David Junhao Zhang et al.
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Summary of Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models, by Shuhong Zheng et al.
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Summary of Analyzing the Language Of Visual Tokens, by David M. Chan et al.
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Summary of Svdquant: Absorbing Outliers by Low-rank Components For 4-bit Diffusion Models, By Muyang Li et al.
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Summary of Multimodal Quantum Natural Language Processing: a Novel Framework For Using Quantum Methods to Analyse Real Data, by Hala Hawashin
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Summary of Towards Interpreting Language Models: a Case Study in Multi-hop Reasoning, by Mansi Sakarvadia
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Summary of Leveraging Llms to Enable Natural Language Search on Go-to-market Platforms, by Jesse Yao and Saurav Acharya and Priyaranjan Parida and Srinivas Attipalli and Ali Dasdan
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Summary of Phonelm:an Efficient and Capable Small Language Model Family Through Principled Pre-training, by Rongjie Yi and Xiang Li and Weikai Xie and Zhenyan Lu and Chenghua Wang and Ao Zhou and Shangguang Wang and Xiwen Zhang and Mengwei Xu
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Summary of The Fibonacci Network: a Simple Alternative For Positional Encoding, by Yair Bleiberg and Michael Werman
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Summary of On the Cohesion and Separability Of Average-link For Hierarchical Agglomerative Clustering, by Eduardo Sany Laber and Miguel Bastista
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Summary of Exploiting the Structure Of Two Graphs with Graph Neural Networks, by Victor M. Tenorio and Antonio G. Marques
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Summary of Epic: Enhancing Privacy Through Iterative Collaboration, by Prakash Chourasia et al.
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Summary of Dwfl: Enhancing Federated Learning Through Dynamic Weighted Averaging, by Prakash Chourasia et al.
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Summary of Inverse Transition Learning: Learning Dynamics From Demonstrations, by Leo Benac et al.
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Summary of Interpretable Measurement Of Cnn Deep Feature Density Using Copula and the Generalized Characteristic Function, by David Chapman et al.
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Summary of Adversarial Robustness Of In-context Learning in Transformers For Linear Regression, by Usman Anwar et al.
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Summary of Interactive Dialogue Agents Via Reinforcement Learning on Hindsight Regenerations, by Joey Hong et al.
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Summary of Q-sft: Q-learning For Language Models Via Supervised Fine-tuning, by Joey Hong et al.
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Summary of Defending Deep Regression Models Against Backdoor Attacks, by Lingyu Du et al.
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Summary of Vtechagp: An Academic-to-general-audience Text Paraphrase Dataset and Benchmark Models, by Ming Cheng et al.
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Summary of Plasticity Loss in Deep Reinforcement Learning: a Survey, by Timo Klein et al.
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Summary of Conformalized Credal Regions For Classification with Ambiguous Ground Truth, by Michele Caprio et al.
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Summary of Think Smart, Act Smarl! Analyzing Probabilistic Logic Driven Safety in Multi-agent Reinforcement Learning, by Satchit Chatterji and Erman Acar
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Summary of Sampling-guided Heterogeneous Graph Neural Network with Temporal Smoothing For Scalable Longitudinal Data Imputation, by Zhaoyang Zhang et al.
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Summary of Enhancing Missing Data Imputation Through Combined Bipartite Graph and Complete Directed Graph, by Zhaoyang Zhang et al.
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Summary of Evaluating Robustness Of Reinforcement Learning Algorithms For Autonomous Shipping, by Bavo Lesy et al.
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Summary of Structure Matters: Dynamic Policy Gradient, by Sara Klein et al.
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Summary of Fed-ldr: Federated Local Data-infused Graph Creation with Node-centric Model Refinement, by Jiechao Gao et al.
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Summary of Bitnet A4.8: 4-bit Activations For 1-bit Llms, by Hongyu Wang et al.
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Summary of Pareto Set Identification with Posterior Sampling, by Cyrille Kone et al.
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Summary of Suffixdecoding: a Model-free Approach to Speeding Up Large Language Model Inference, by Gabriele Oliaro et al.
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Summary of Ascan: Asymmetric Convolution-attention Networks For Efficient Recognition and Generation, by Anil Kag et al.
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Summary of Few-shot Task Learning Through Inverse Generative Modeling, by Aviv Netanyahu et al.
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Summary of Sg-i2v: Self-guided Trajectory Control in Image-to-video Generation, by Koichi Namekata et al.
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Summary of Clustering in Causal Attention Masking, by Nikita Karagodin et al.
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Summary of Which Bits Went Where? Past and Future Transfer Entropy Decomposition with the Information Bottleneck, by Kieran A. Murphy et al.
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Summary of Lofi: Neural Local Fields For Scalable Image Reconstruction, by Amirehsan Khorashadizadeh et al.
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Summary of Centrality Graph Shift Operators For Graph Neural Networks, by Yassine Abbahaddou et al.
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Summary of Enhancing Trust in Clinically Significant Prostate Cancer Prediction with Multiple Magnetic Resonance Imaging Modalities, by Benjamin Ng et al.
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Summary of Efficanet: Efficient Time Series Forecasting with Convolutional Attention, by Xinxing Zhou et al.
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Summary of Semantic-aware Resource Management For C-v2x Platooning Via Multi-agent Reinforcement Learning, by Zhiyu Shao et al.
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Summary of How to Combine Differential Privacy and Continual Learning, by Marlon Tobaben et al.
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Summary of The Multiple Dimensions Of Spuriousness in Machine Learning, by Samuel J. Bell and Skyler Wang
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Summary of Exploring Hierarchical Molecular Graph Representation in Multimodal Llms, by Chengxin Hu et al.
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Summary of Is Network Fragmentation a Useful Complexity Measure?, by Coenraad Mouton et al.
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Summary of Subspace-constrained Quadratic Matrix Factorization: Algorithm and Applications, by Zheng Zhai et al.
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Summary of See-dpo: Self Entropy Enhanced Direct Preference Optimization, by Shivanshu Shekhar et al.
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Summary of Convolutional Differentiable Logic Gate Networks, by Felix Petersen et al.
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Summary of Respecting the Limit:bayesian Optimization with a Bound on the Optimal Value, by Hanyang Wang et al.
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Summary of Zero-shot Temporal Resolution Domain Adaptation For Spiking Neural Networks, by Sanja Karilanova et al.
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Summary of Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups, by Mohsen Dehghankar et al.
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Summary of Navigating Trade-offs: Policy Summarization For Multi-objective Reinforcement Learning, by Zuzanna Osika et al.
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Summary of Learn to Solve Vehicle Routing Problems Asap: a Neural Optimization Approach For Time-constrained Vehicle Routing Problems with Finite Vehicle Fleet, by Elija Deineko et al.