Paper List
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Summary of Iteris: Iterative Inference-solving Alignment For Lora Merging, by Hongxu Chen et al.
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Summary of Code-cl: Conceptor-based Gradient Projection For Deep Continual Learning, by Marco Paul E. Apolinario et al.
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Summary of Text Embedding Is Not All You Need: Attention Control For Text-to-image Semantic Alignment with Text Self-attention Maps, by Jeeyung Kim et al.
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Summary of Attribot: a Bag Of Tricks For Efficiently Approximating Leave-one-out Context Attribution, by Fengyuan Liu et al.
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Summary of Effective Littlestone Dimension, by Valentino Delle Rose et al.
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Summary of Re-bench: Evaluating Frontier Ai R&d Capabilities Of Language Model Agents Against Human Experts, by Hjalmar Wijk et al.
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Summary of About Time: Advances, Challenges, and Outlooks Of Action Understanding, by Alexandros Stergiou and Ronald Poppe
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Summary of Efficient Pruning Of Text-to-image Models: Insights From Pruning Stable Diffusion, by Samarth N Ramesh et al.
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Summary of Primus: Pretraining Imu Encoders with Multimodal Self-supervision, by Arnav M. Das et al.
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Summary of Health Ai Developer Foundations, by Atilla P. Kiraly et al.
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Summary of Decentralizing Test-time Adaptation Under Heterogeneous Data Streams, by Zixian Su et al.
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Summary of Random Forest-supervised Manifold Alignment, by Jake S. Rhodes et al.
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Summary of Harnessing Scale and Physics: a Multi-graph Neural Operator Framework For Pdes on Arbitrary Geometries, by Zhihao Li et al.
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Summary of Multi-layer Matrix Factorization For Cancer Subtyping Using Full and Partial Multi-omics Dataset, by Yingxuan Ren et al.
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Summary of Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals Using Lms, by Md Ahsanul Kabir et al.
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Summary of Hybrid Gaussian Process Regression with Temporal Feature Extraction For Partially Interpretable Remaining Useful Life Interval Prediction in Aeroengine Prognostics, by Tian Niu et al.
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Summary of Categorical Data Clustering Via Value Order Estimated Distance Metric Learning, by Yiqun Zhang et al.
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Summary of Guiding Word Equation Solving Using Graph Neural Networks (extended Technical Report), by Parosh Aziz Abdulla et al.
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Summary of Graph Neural Network-based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs, by Junliang Du et al.
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Summary of Tailoring the Hyperparameters Of a Wide-kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets, by Dan Hudson et al.
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Summary of K-means Derived Unsupervised Feature Selection Using Improved Admm, by Ziheng Sun et al.
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Summary of Adaptively Controllable Diffusion Model For Efficient Conditional Image Generation, by Yucheng Xing et al.
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Summary of Multimodal Large Language Model For Wheat Breeding: a New Exploration Of Smart Breeding, by Guofeng Yang et al.
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Summary of Geminio: Language-guided Gradient Inversion Attacks in Federated Learning, by Junjie Shan et al.
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Summary of Reliable Evaluation Of Attribution Maps in Cnns: a Perturbation-based Approach, by Lars Nieradzik and Henrike Stephani and Janis Keuper
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Summary of Evaluating Vision Transformer Models For Visual Quality Control in Industrial Manufacturing, by Miriam Alber et al.
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Summary of Lora-fair: Federated Lora Fine-tuning with Aggregation and Initialization Refinement, by Jieming Bian et al.
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Summary of Adaptive Group Robust Ensemble Knowledge Distillation, by Patrik Kenfack et al.
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Summary of Leveraging Llms For Legacy Code Modernization: Challenges and Opportunities For Llm-generated Documentation, by Colin Diggs et al.
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Summary of On the Linear Speedup Of Personalized Federated Reinforcement Learning with Shared Representations, by Guojun Xiong et al.
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Summary of Headrouter: a Training-free Image Editing Framework For Mm-dits by Adaptively Routing Attention Heads, By Yu Xu et al.
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Summary of Dycoke: Dynamic Compression Of Tokens For Fast Video Large Language Models, by Keda Tao et al.
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Summary of Safe Multi-agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium, by Zeyang Li et al.
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Summary of On Feasible Rewards in Multi-agent Inverse Reinforcement Learning, by Till Freihaut et al.
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Summary of Fantastic Biases (what Are They) and Where to Find Them, by Valentin Barriere
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Summary of Spac-net: Rethinking Point Cloud Completion with Structural Prior, by Zizhao Wu et al.
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Summary of Learning to Stabilize Faces, by Jan Bednarik et al.
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Summary of Instance-aware Generalized Referring Expression Segmentation, by E-ro Nguyen et al.
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Summary of Dimension-independent Rates For Structured Neural Density Estimation, by Robert A. Vandermeulen et al.
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Summary of Ominicontrol: Minimal and Universal Control For Diffusion Transformer, by Zhenxiong Tan et al.
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Summary of What You See Is Not What You Get: Neural Partial Differential Equations and the Illusion Of Learning, by Arvind Mohan et al.
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Summary of Context-aware Multimodal Pretraining, by Karsten Roth et al.
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Summary of Grid and Road Expressions Are Complementary For Trajectory Representation Learning, by Silin Zhou et al.
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Summary of Simplifying Clip: Unleashing the Power Of Large-scale Models on Consumer-level Computers, by Hongbo Liu
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Summary of Adaptive Hyper-graph Convolution Network For Skeleton-based Human Action Recognition with Virtual Connections, by Youwei Zhou and Tianyang Xu and Cong Wu and Xiaojun Wu and Josef Kittler
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Summary of Continual Sft Matches Multimodal Rlhf with Negative Supervision, by Ke Zhu and Yu Wang and Yanpeng Sun and Qiang Chen and Jiangjiang Liu and Gang Zhang and Jingdong Wang
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Summary of Harlequin: Color-driven Generation Of Synthetic Data For Referring Expression Comprehension, by Luca Parolari et al.
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Summary of Facial Features Matter: a Dynamic Watermark Based Proactive Deepfake Detection Approach, by Shulin Lan et al.
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Summary of Fine-grained Alignment in Vision-and-language Navigation Through Bayesian Optimization, by Yuhang Song et al.
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Summary of Omni-iml: Towards Unified Image Manipulation Localization, by Chenfan Qu et al.
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Summary of Evaluating the Robustness Of the “ensemble Everything Everywhere” Defense, by Jie Zhang et al.
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Summary of Applications Of Fractional Calculus in Learned Optimization, by Teodor Alexandru Szente et al.
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Summary of Latent Schrodinger Bridge: Prompting Latent Diffusion For Fast Unpaired Image-to-image Translation, by Jeongsol Kim and Beomsu Kim and Jong Chul Ye
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Summary of Bip3d: Bridging 2d Images and 3d Perception For Embodied Intelligence, by Xuewu Lin et al.
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Summary of Ex Uno Pluria: Insights on Ensembling in Low Precision Number Systems, by Giung Nam et al.
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Summary of Preference Alignment For Diffusion Model Via Explicit Denoised Distribution Estimation, by Dingyuan Shi et al.
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Summary of Boundless Across Domains: a New Paradigm Of Adaptive Feature and Cross-attention For Domain Generalization in Medical Image Segmentation, by Yuheng Xu et al.
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Summary of Iterative Reweighted Framework Based Algorithms For Sparse Linear Regression with Generalized Elastic Net Penalty, by Yanyun Ding et al.
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Summary of Predictive Modeling For Real-time Personalized Health Monitoring in Muscular Dystrophy Management, by Mohammed Akkaoui
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Summary of Lidar-based End-to-end Temporal Perception For Vehicle-infrastructure Cooperation, by Zhenwei Yang et al.
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Summary of Many Happy Returns: Machine Learning to Support Platelet Issuing and Waste Reduction in Hospital Blood Banks, by Joseph Farrington et al.
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Summary of Whats in a Video: Factorized Autoregressive Decoding For Online Dense Video Captioning, by Aj Piergiovanni et al.
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Summary of Self-supervised Learning For Ordered Three-dimensional Structures, by Matthew Spellings et al.
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Summary of Ev-pinn: a Physics-informed Neural Network For Predicting Electric Vehicle Dynamics, by Hansol Lim et al.
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Summary of Anti-forgetting Adaptation For Unsupervised Person Re-identification, by Hao Chen et al.
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Summary of Visionpad: a Vision-centric Pre-training Paradigm For Autonomous Driving, by Haiming Zhang et al.
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Summary of Understanding Llm Embeddings For Regression, by Eric Tang et al.
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Summary of Fedmllm: Federated Fine-tuning Mllm on Multimodal Heterogeneity Data, by Binqian Xu et al.
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Summary of Molreflect: Towards In-context Fine-grained Alignments Between Molecules and Texts, by Jiatong Li et al.
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Summary of Enhancing Molecular Design Through Graph-based Topological Reinforcement Learning, by Xiangyu Zhang
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Summary of Evaluating and Advancing Multimodal Large Language Models in Ability Lens, by Feng Chen et al.
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Summary of Hyreal: Clustering Attributed Graph Via Hyper-complex Space Representation Learning, by Junyang Chen et al.
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Summary of K-gbs3fcm — Knn Graph-based Safe Semi-supervised Fuzzy C-means, by Gabriel Santos et al.
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Summary of Flare: Fp-less Ptq and Low-enob Adc Based Ams-pim For Error-resilient, Fast, and Efficient Transformer Acceleration, by Donghyeon Yi et al.
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Summary of Ai Tailoring: Evaluating Influence Of Image Features on Fashion Product Popularity, by Xiaomin Li et al.
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Summary of Point Cloud Understanding Via Attention-driven Contrastive Learning, by Yi Wang et al.
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Summary of Ordinal Multiple-instance Learning For Ulcerative Colitis Severity Estimation with Selective Aggregated Transformer, by Kaito Shiku et al.
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Summary of Toposd: Topology-enhanced Lane Segment Perception with Sdmap Prior, by Sen Yang and Minyue Jiang and Ziwei Fan and Xiaolu Xie and Xiao Tan and Yingying Li and Errui Ding and Liang Wang and Jingdong Wang
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Summary of Hammer: Towards Efficient Hot-cold Data Identification Via Online Learning, by Kai Lu et al.
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Summary of Efficient Long Video Tokenization Via Coordinate-based Patch Reconstruction, by Huiwon Jang et al.
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Summary of Understanding World or Predicting Future? a Comprehensive Survey Of World Models, by Jingtao Ding et al.
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Summary of Exploring Accuracy-fairness Trade-off in Large Language Models, by Qingquan Zhang et al.
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Summary of Fusegpt: Learnable Layers Fusion Of Generative Pre-trained Transformers, by Zehua Pei et al.
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Summary of Variational Autoencoders For Efficient Simulation-based Inference, by Mayank Nautiyal et al.
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Summary of An Experimental Study on Data Augmentation Techniques For Named Entity Recognition on Low-resource Domains, by Arthur Elwing Torres et al.
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Summary of Enhancing Geoai and Location Encoding with Spatial Point Pattern Statistics: a Case Study Of Terrain Feature Classification, by Sizhe Wang and Wenwen Li
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Summary of Are Anomaly Scores Telling the Whole Story? a Benchmark For Multilevel Anomaly Detection, by Tri Cao et al.
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Summary of Privacy-preserving Video Anomaly Detection: a Survey, by Jing Liu et al.
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Summary of Towards Knowledge Checking in Retrieval-augmented Generation: a Representation Perspective, by Shenglai Zeng et al.
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Summary of Efficient Spatio-temporal Signal Recognition on Edge Devices Using Pointlca-net, by Sanaz Mahmoodi Takaghaj et al.
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Summary of Active Learning-based Optimization Of Hydroelectric Turbine Startup to Minimize Fatigue Damage, by Vincent Mai et al.
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Summary of Exploiting Boosting in Hyperdimensional Computing For Enhanced Reliability in Healthcare, by Sungheon Jeong et al.
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Summary of Hotspot: Signed Distance Function Optimization with An Asymptotically Sufficient Condition, by Zimo Wang et al.
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Summary of Predictive Analytics Of Air Alerts in the Russian-ukrainian War, by Demian Pavlyshenko et al.
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Summary of Multiset Transformer: Advancing Representation Learning in Persistence Diagrams, by Minghua Wang et al.
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Summary of Vqalattent: a Transparent Speech Generation Pipeline Based on Transformer-learned Vq-vae Latent Space, by Armani Rodriguez and Silvija Kokalj-filipovic