Paper List

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Summary of Rigid Protein-protein Docking Via Equivariant Elliptic-paraboloid Interface Prediction, by Ziyang Yu et al.
Summary of Efficient Adapter Finetuning For Tail Languages in Streaming Multilingual Asr, by Junwen Bai et al.
Summary of Attack and Reset For Unlearning: Exploiting Adversarial Noise Toward Machine Unlearning Through Parameter Re-initialization, by Yoonhwa Jung and Ikhyun Cho and Shun-hsiang Hsu and Julia Hockenmaier
Summary of Towards Responsible Ai in Banking: Addressing Bias For Fair Decision-making, by Alessandro Castelnovo
Summary of Decoupled Prototype Learning For Reliable Test-time Adaptation, by Guowei Wang et al.
Summary of Selecting Subsets Of Source Data For Transfer Learning with Applications in Metal Additive Manufacturing, by Yifan Tang et al.
Summary of Ma2gcn: Multi Adjacency Relationship Attention Graph Convolutional Networks For Traffic Prediction Using Trajectory Data, by Zhengke Sun et al.
Summary of Investigating Fouling Efficiency in Football Using Expected Booking (xb) Model, by Adnan Azmat et al.
Summary of Bayes Conditional Distribution Estimation For Knowledge Distillation Based on Conditional Mutual Information, by Linfeng Ye et al.
Summary of Bag Of Tricks to Boost Adversarial Transferability, by Zeliang Zhang et al.
Summary of Sit: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers, by Nanye Ma et al.
Summary of Fixed Point Diffusion Models, by Xingjian Bai and Luke Melas-kyriazi
Summary of Mmtom-qa: Multimodal Theory Of Mind Question Answering, by Chuanyang Jin et al.
Summary of The Impact Of Differential Feature Under-reporting on Algorithmic Fairness, by Nil-jana Akpinar et al.
Summary of Lpntk: Better Generalisation with Less Data Via Sample Interaction During Learning, by Shangmin Guo et al.
Summary of Adversarial Supervision Makes Layout-to-image Diffusion Models Thrive, by Yumeng Li and Margret Keuper and Dan Zhang and Anna Khoreva
Summary of Learning From Sparse Offline Datasets Via Conservative Density Estimation, by Zhepeng Cen et al.
Summary of Revalued: Regularised Ensemble Value-decomposition For Factorisable Markov Decision Processes, by David Ireland and Giovanni Montana
Summary of Using I-vectors For Subject-independent Cross-session Eeg Transfer Learning, by Jonathan Lasko et al.
Summary of Aigen-foodreview: a Multimodal Dataset Of Machine-generated Restaurant Reviews and Images on Social Media, by Alessandro Gambetti et al.
Summary of Stochastic Subnetwork Annealing: a Regularization Technique For Fine Tuning Pruned Subnetworks, by Tim Whitaker et al.
Summary of Robust Localization Of Key Fob Using Channel Impulse Response Of Ultra Wide Band Sensors For Keyless Entry Systems, by Abhiram Kolli et al.
Summary of The Effect Of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images, by Nicholas Konz et al.
Summary of Beyond Weisfeiler-lehman: a Quantitative Framework For Gnn Expressiveness, by Bohang Zhang et al.
Summary of X Hacking: the Threat Of Misguided Automl, by Rahul Sharma et al.
Summary of Video Quality Assessment Based on Swin Transformerv2 and Coarse to Fine Strategy, by Zihao Yu et al.
Summary of Gats: Gather-attend-scatter, by Konrad Zolna et al.
Summary of Diconstruct: Causal Concept-based Explanations Through Black-box Distillation, by Ricardo Moreira et al.
Summary of Explaining Time Series Via Contrastive and Locally Sparse Perturbations, by Zichuan Liu et al.
Summary of Multi-track Timeline Control For Text-driven 3d Human Motion Generation, by Mathis Petrovich et al.
Summary of Connect, Collapse, Corrupt: Learning Cross-modal Tasks with Uni-modal Data, by Yuhui Zhang et al.
Summary of Waves: Benchmarking the Robustness Of Image Watermarks, by Bang An et al.
Summary of Multiply: a Multisensory Object-centric Embodied Large Language Model in 3d World, by Yining Hong et al.
Summary of Temporal Embeddings: Scalable Self-supervised Temporal Representation Learning From Spatiotemporal Data For Multimodal Computer Vision, by Yi Cao and Swetava Ganguli and Vipul Pandey
Summary of Nahid: Ai-based Algorithm For Operating Fully-automatic Surgery, by Sina Saadati
Summary of Mate-pred: Multimodal Attention-based Tcr-epitope Interaction Predictor, by Etienne Goffinet et al.
Summary of One-step Diffusion Distillation Via Deep Equilibrium Models, by Zhengyang Geng and Ashwini Pokle and J. Zico Kolter
Summary of Said: Speech-driven Blendshape Facial Animation with Diffusion, by Inkyu Park et al.
Summary of An Integrated Imitation and Reinforcement Learning Methodology For Robust Agile Aircraft Control with Limited Pilot Demonstration Data, by Gulay Goktas Sever et al.
Summary of Concept Alignment, by Sunayana Rane et al.
Summary of Nodi: Out-of-distribution Detection with Noise From Diffusion, by Jingqiu Zhou et al.
Summary of Deep Reinforcement Learning For Multi-truck Vehicle Routing Problems with Multi-leg Demand Routes, by Joshua Levin et al.
Summary of Contrastive Learning with Negative Sampling Correction, by Lu Wang et al.
Summary of Anchor Function: a Type Of Benchmark Functions For Studying Language Models, by Zhongwang Zhang et al.
Summary of Opendpd: An Open-source End-to-end Learning & Benchmarking Framework For Wideband Power Amplifier Modeling and Digital Pre-distortion, by Yizhuo Wu et al.
Summary of Learn What You Need in Personalized Federated Learning, by Kexin Lv et al.
Summary of Boosting Gradient Ascent For Continuous Dr-submodular Maximization, by Qixin Zhang et al.
Summary of Personalized Federated Learning Of Probabilistic Models: a Pac-bayesian Approach, by Mahrokh Ghoddousi Boroujeni et al.
Summary of Sparse Pca with False Discovery Rate Controlled Variable Selection, by Jasin Machkour et al.
Summary of Weighted Spectral Filters For Kernel Interpolation on Spheres: Estimates Of Prediction Accuracy For Noisy Data, by Xiaotong Liu et al.
Summary of Exploiting Inter-layer Expert Affinity For Accelerating Mixture-of-experts Model Inference, by Jinghan Yao et al.
Summary of Deep Learning-based Group Causal Inference in Multivariate Time-series, by Wasim Ahmad et al.
Summary of Rag Vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture, by Angels Balaguer et al.
Summary of U-diads-bib: a Full and Few-shot Pixel-precise Dataset For Document Layout Analysis Of Ancient Manuscripts, by Silvia Zottin et al.
Summary of Gd Doesn’t Make the Cut: Three Ways That Non-differentiability Affects Neural Network Training, by Siddharth Krishna Kumar
Summary of Machine Translation with Large Language Models: Prompt Engineering For Persian, English, and Russian Directions, by Nooshin Pourkamali et al.
Summary of Coggpt: Unleashing the Power Of Cognitive Dynamics on Large Language Models, by Yaojia Lv et al.
Summary of Enhancing Evolving Domain Generalization Through Dynamic Latent Representations, by Binghui Xie et al.
Summary of Contrastive Perplexity For Controlled Generation: An Application in Detoxifying Large Language Models, by Tassilo Klein et al.
Summary of Code Generation with Alphacodium: From Prompt Engineering to Flow Engineering, by Tal Ridnik et al.
Summary of Solving Continual Offline Reinforcement Learning with Decision Transformer, by Kaixin Huang et al.
Summary of Harnessing Orthogonality to Train Low-rank Neural Networks, by Daniel Coquelin et al.
Summary of From Graphs to Hypergraphs: Hypergraph Projection and Its Remediation, by Yanbang Wang et al.
Summary of Calpric: Inclusive and Fine-grain Labeling Of Privacy Policies with Crowdsourcing and Active Learning, by Wenjun Qiu et al.
Summary of Augmenting Ground-level Pm2.5 Prediction Via Kriging-based Pseudo-label Generation, by Lei Duan et al.
Summary of Incremental Extractive Opinion Summarization Using Cover Trees, by Somnath Basu Roy Chowdhury et al.
Summary of Transformer-based Approach For Ethereum Price Prediction Using Crosscurrency Correlation and Sentiment Analysis, by Shubham Singh et al.
Summary of Predicting Next Useful Location with Context-awareness: the State-of-the-art, by Alireza Nezhadettehad et al.
Summary of A Survey Of Resource-efficient Llm and Multimodal Foundation Models, by Mengwei Xu et al.
Summary of Specstg: a Fast Spectral Diffusion Framework For Probabilistic Spatio-temporal Traffic Forecasting, by Lequan Lin et al.
Summary of Cyclight: Learning Traffic Signal Cooperation with a Cycle-level Strategy, by Gengyue Han et al.
Summary of Machine Learning-based Malicious Vehicle Detection For Security Threats and Attacks in Vehicle Ad-hoc Network (vanet) Communications, by Thanh Nguyen Canh and Xiem Hoangvan
Summary of Machine Learning on Dynamic Graphs: a Survey on Applications, by Sanaz Hasanzadeh Fard
Summary of Transferring Core Knowledge Via Learngenes, by Fu Feng et al.
Summary of Statistical Test For Attention Map in Vision Transformer, by Tomohiro Shiraishi et al.
Summary of Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm, by Xintao Xia et al.
Summary of Prewrite: Prompt Rewriting with Reinforcement Learning, by Weize Kong and Spurthi Amba Hombaiah and Mingyang Zhang and Qiaozhu Mei and Michael Bendersky
Summary of Matrix Completion with Hypergraphs:sharp Thresholds and Efficient Algorithms, by Zhongtian Ma et al.
Summary of Efficient and Mathematically Robust Operations For Certified Neural Networks Inference, by Fabien Geyer et al.
Summary of Enhancing Wind Speed and Wind Power Forecasting Using Shape-wise Feature Engineering: a Novel Approach For Improved Accuracy and Robustness, by Mulomba Mukendi Christian et al.
Summary of Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets, by Hang Chen et al.
Summary of Siamese Content-based Search Engine For a More Transparent Skin and Breast Cancer Diagnosis Through Histological Imaging, by Zahra Tabatabaei et al.
Summary of Large Language Models Are Null-shot Learners, by Pittawat Taveekitworachai et al.
Summary of Activations and Gradients Compression For Model-parallel Training, by Mikhail Rudakov et al.
Summary of Joint Probability Selection and Power Allocation For Federated Learning, by Ouiame Marnissi et al.
Summary of Fusing Echocardiography Images and Medical Records For Continuous Patient Stratification, by Nathan Painchaud et al.
Summary of The Ode Method For Stochastic Approximation and Reinforcement Learning with Markovian Noise, by Shuze Daniel Liu et al.
Summary of Explainable Predictive Maintenance: a Survey Of Current Methods, Challenges and Opportunities, by Logan Cummins et al.
Summary of Do Stable Neural Networks Exist For Classification Problems? — a New View on Stability in Ai, by Z. N. D. Liu et al.
Summary of The Chronicles Of Rag: the Retriever, the Chunk and the Generator, by Paulo Finardi et al.
Summary of Learned Best-effort Llm Serving, by Siddharth Jha et al.
Summary of Machine Learning Techniques to Identify Hand Gestures Amidst Forearm Muscle Signals, by Ryan Cho et al.
Summary of Are Self-explanations From Large Language Models Faithful?, by Andreas Madsen et al.
Summary of A Globally Convergent Algorithm For Neural Network Parameter Optimization Based on Difference-of-convex Functions, by Daniel Tschernutter et al.
Summary of Vertical Federated Image Segmentation, by Paul K. Mandal et al.
Summary of Graph Dual-stream Convolutional Attention Fusion For Precipitation Nowcasting, by Lorand Vatamany et al.
Summary of A Study on Large Language Models’ Limitations in Multiple-choice Question Answering, by Aisha Khatun and Daniel G. Brown
Summary of Robustness Against Adversarial Attacks Via Learning Confined Adversarial Polytopes, by Shayan Mohajer Hamidi et al.
Summary of Carrying Over Algorithm in Transformers, by Jorrit Kruthoff
Summary of Discovery Of Generalizable Tbi Phenotypes Using Multivariate Time-series Clustering, by Hamid Ghaderi et al.