Paper List

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Summary of Kv Cache Is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization, by Tianyi Zhang et al.
Summary of Unlearning Backdoor Attacks Through Gradient-based Model Pruning, by Kealan Dunnett et al.
Summary of Fedsc: Provable Federated Self-supervised Learning with Spectral Contrastive Objective Over Non-i.i.d. Data, by Shusen Jing et al.
Summary of Collaborative Intelligence in Sequential Experiments: a Human-in-the-loop Framework For Drug Discovery, by Jinghai He et al.
Summary of Ililt: Implicit Learning Of Inverse Lithography Technologies, by Haoyu Yang et al.
Summary of Deep Clustering with Self-supervision Using Pairwise Similarities, by Mohammadreza Sadeghi et al.
Summary of Nonnegative Matrix Factorization in Dimensionality Reduction: a Survey, by Farid Saberi-movahed et al.
Summary of Collage: Light-weight Low-precision Strategy For Llm Training, by Tao Yu et al.
Summary of Classification Of Breast Cancer Histopathology Images Using a Modified Supervised Contrastive Learning Method, by Matina Mahdizadeh Sani et al.
Summary of Learning Robust Classifiers with Self-guided Spurious Correlation Mitigation, by Guangtao Zheng et al.
Summary of Generated Contents Enrichment, by Mahdi Naseri et al.
Summary of Why Is Sam Robust to Label Noise?, by Christina Baek et al.
Summary of Language-image Models with 3d Understanding, by Jang Hyun Cho et al.
Summary of Large Language Models Reveal Information Operation Goals, Tactics, and Narrative Frames, by Keith Burghardt et al.
Summary of Evaluating Large Language Models For Material Selection, by Daniele Grandi et al.
Summary of Leafy Spurge Dataset: Real-world Weed Classification Within Aerial Drone Imagery, by Kyle Doherty et al.
Summary of Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory, by Anwar Said et al.
Summary of Guidance Design For Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning, by Xiao Hu et al.
Summary of Your Network May Need to Be Rewritten: Network Adversarial Based on High-dimensional Function Graph Decomposition, by Xiaoyan Su and Yinghao Zhu and Run Li
Summary of Unidec : Unified Dual Encoder and Classifier Training For Extreme Multi-label Classification, by Siddhant Kharbanda et al.
Summary of A Single Online Agent Can Efficiently Learn Mean Field Games, by Chenyu Zhang et al.
Summary of Spatial Transfer Learning with Simple Mlp, by Hongjian Yang
Summary of Generative Adversarial Learning with Optimal Input Dimension and Its Adaptive Generator Architecture, by Zhiyao Tan et al.
Summary of Tilt Your Head: Activating the Hidden Spatial-invariance Of Classifiers, by Johann Schmidt et al.
Summary of Statistical Edge Detection and Udf Learning For Shape Representation, by Virgile Foy (imt) et al.
Summary of Glip: Electromagnetic Field Exposure Map Completion by Deep Generative Networks, By Mohammed Mallik et al.
Summary of Annot-mix: Learning with Noisy Class Labels From Multiple Annotators Via a Mixup Extension, by Marek Herde et al.
Summary of Don’t Waste Your Time: Early Stopping Cross-validation, by Edward Bergman et al.
Summary of E2gnn: Efficient Graph Neural Network Ensembles For Semi-supervised Classification, by Xin Zhang et al.
Summary of Lighttr: a Lightweight Framework For Federated Trajectory Recovery, by Ziqiao Liu et al.
Summary of Geometry-aware Framework For Deep Energy Method: An Application to Structural Mechanics with Hyperelastic Materials, by Thi Nguyen Khoa Nguyen et al.
Summary of Recycle: Fast and Efficient Long Time Series Forecasting with Residual Cyclic Transformers, by Arvid Weyrauch et al.
Summary of Byzantine-robust Gossip: Insights From a Dual Approach, by Renaud Gaucher et al.
Summary of Improved Forward-forward Contrastive Learning, by Gananath R
Summary of A Lightweight Neural Architecture Search Model For Medical Image Classification, by Lunchen Xie et al.
Summary of Hierarchic Flows to Estimate and Sample High-dimensional Probabilities, by Etienne Lempereur et al.
Summary of Anchorgt: Efficient and Flexible Attention Architecture For Scalable Graph Transformers, by Wenhao Zhu et al.
Summary of Boosting Single Positive Multi-label Classification with Generalized Robust Loss, by Yanxi Chen et al.
Summary of Gi-smn: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge, by Jin Qian and Kaimin Wei and Yongdong Wu and Jilian Zhang and Jipeng Chen and Huan Bao
Summary of Exploring the Efficacy Of Federated-continual Learning Nodes with Attention-based Classifier For Robust Web Phishing Detection: An Empirical Investigation, by Jesher Joshua M et al.
Summary of Repvgg-gelan: Enhanced Gelan with Vgg-style Convnets For Brain Tumour Detection, by Thennarasi Balakrishnan et al.
Summary of Position: Leverage Foundational Models For Black-box Optimization, by Xingyou Song et al.
Summary of Ccdm: Continuous Conditional Diffusion Models For Image Generation, by Xin Ding and Yongwei Wang and Kao Zhang and Z. Jane Wang
Summary of Bridging Discrete and Continuous State Spaces: Exploring the Ehrenfest Process in Time-continuous Diffusion Models, by Ludwig Winkler et al.
Summary of Cross-modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks, by Xuran Zhu
Summary of Deep Learning For Detecting and Early Predicting Chronic Obstructive Pulmonary Disease From Spirogram Time Series, by Shuhao Mei et al.
Summary of Examining Changes in Internal Representations Of Continual Learning Models Through Tensor Decomposition, by Nishant Suresh Aswani et al.
Summary of Communication-efficient Federated Learning with Adaptive Compression Under Dynamic Bandwidth, by Ying Zhuansun et al.
Summary of Exploring the Frontiers Of Softmax: Provable Optimization, Applications in Diffusion Model, and Beyond, by Jiuxiang Gu et al.
Summary of Multi-modality Spatio-temporal Forecasting Via Self-supervised Learning, by Jiewen Deng et al.
Summary of End-to-end Reinforcement Learning Of Curative Curtailment with Partial Measurement Availability, by Hinrikus Wolf et al.
Summary of Interpretable Network Visualizations: a Human-in-the-loop Approach For Post-hoc Explainability Of Cnn-based Image Classification, by Matteo Bianchi et al.
Summary of Coefficient Decomposition For Spectral Graph Convolution, by Feng Huang et al.
Summary of Federated Learning For Drowsiness Detection in Connected Vehicles, by William Lindskog et al.
Summary of Deep Learning-based Point Cloud Registration For Augmented Reality-guided Surgery, by Maximilian Weber et al.
Summary of Provably Unlearnable Data Examples, by Derui Wang et al.
Summary of Denoising Of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction, by Giuseppe Costantino et al.
Summary of Clustering Of Disease Trajectories with Explainable Machine Learning: a Case Study on Postoperative Delirium Phenotypes, by Xiaochen Zheng et al.
Summary of Policy Learning For Balancing Short-term and Long-term Rewards, by Peng Wu et al.
Summary of Enhancing Q-learning with Large Language Model Heuristics, by Xiefeng Wu
Summary of Doubly Robust Causal Effect Estimation Under Networked Interference Via Targeted Learning, by Weilin Chen et al.
Summary of A Generalization Theory Of Cross-modality Distillation with Contrastive Learning, by Hangyu Lin et al.
Summary of Cra5: Extreme Compression Of Era5 For Portable Global Climate and Weather Research Via An Efficient Variational Transformer, by Tao Han et al.
Summary of Reverse Forward Curriculum Learning For Extreme Sample and Demonstration Efficiency in Reinforcement Learning, by Stone Tao et al.
Summary of Learning From Students: Applying T-distributions to Explore Accurate and Efficient Formats For Llms, by Jordan Dotzel et al.
Summary of Lory: Fully Differentiable Mixture-of-experts For Autoregressive Language Model Pre-training, by Zexuan Zhong et al.
Summary of Deep Learning For Causal Inference: a Comparison Of Architectures For Heterogeneous Treatment Effect Estimation, by Demetrios Papakostas et al.
Summary of Timemil: Advancing Multivariate Time Series Classification Via a Time-aware Multiple Instance Learning, by Xiwen Chen et al.
Summary of Ptq4sam: Post-training Quantization For Segment Anything, by Chengtao Lv et al.
Summary of Quantifying the Capabilities Of Llms Across Scale and Precision, by Sher Badshah and Hassan Sajjad
Summary of Video Diffusion Models: a Survey, by Andrew Melnik et al.
Summary of Decentralized Online Learning in General-sum Stackelberg Games, by Yaolong Yu et al.
Summary of Exploring the Potential Of the Large Language Models (llms) in Identifying Misleading News Headlines, by Md Main Uddin Rony et al.
Summary of Advancing Multimodal Medical Capabilities Of Gemini, by Lin Yang et al.
Summary of Braced Fourier Continuation and Regression For Anomaly Detection, by Josef Sabuda
Summary of Spatiotemporal Implicit Neural Representation As a Generalized Traffic Data Learner, by Tong Nie et al.
Summary of Hyperbolic Geometric Latent Diffusion Model For Graph Generation, by Xingcheng Fu et al.
Summary of Quadranet V2: Efficient and Sustainable Training Of High-order Neural Networks with Quadratic Adaptation, by Chenhui Xu et al.
Summary of Stability Evaluation Via Distributional Perturbation Analysis, by Jose Blanchet et al.
Summary of Boosting Mlps with a Coarsening Strategy For Long-term Time Series Forecasting, by Nannan Bian and Minhong Zhu and Li Chen and Weiran Cai
Summary of Anchored Answers: Unravelling Positional Bias in Gpt-2’s Multiple-choice Questions, by Ruizhe Li et al.
Summary of Spatial and Surface Correspondence Field For Interaction Transfer, by Zeyu Huang et al.
Summary of Ted: Accelerate Model Training by Internal Generalization, By Jinying Xiao et al.
Summary of Federated Reinforcement Learning with Constraint Heterogeneity, by Hao Jin et al.
Summary of Overconfidence Is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-language Models, by Tobias Groot and Matias Valdenegro-toro
Summary of On the Tractability Of Shap Explanations Under Markovian Distributions, by Reda Marzouk and Colin De La Higuera
Summary of Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving, By Sohei Arisaka and Qianxiao Li
Summary of Source-free Domain Adaptation Guided by Vision and Vision-language Pre-training, By Wenyu Zhang and Li Shen and Chuan-sheng Foo
Summary of Towards a Flexible and High-fidelity Approach to Distributed Dnn Training Emulation, by Banruo Liu et al.
Summary of Skelcap: Automated Generation Of Descriptive Text From Skeleton Keypoint Sequences, by Ali Emre Keskin and Hacer Yalim Keles
Summary of Parameter-efficient Fine-tuning with Discrete Fourier Transform, by Ziqi Gao et al.
Summary of Exploring Prompts to Elicit Memorization in Masked Language Model-based Named Entity Recognition, by Yuxi Xia et al.
Summary of Safe Reinforcement Learning with Learned Non-markovian Safety Constraints, by Siow Meng Low and Akshat Kumar
Summary of A View on Out-of-distribution Identification From a Statistical Testing Theory Perspective, by Alberto Caron et al.
Summary of Convolutional Learning on Directed Acyclic Graphs, by Samuel Rey et al.
Summary of Tree-based Ensemble Learning For Out-of-distribution Detection, by Zhaiming Shen et al.
Summary of Rice: Breaking Through the Training Bottlenecks Of Reinforcement Learning with Explanation, by Zelei Cheng et al.
Summary of Anogan For Tabular Data: a Novel Approach to Anomaly Detection, by Aditya Singh and Pavan Reddy
Summary of Finite-time Convergence and Sample Complexity Of Actor-critic Multi-objective Reinforcement Learning, by Tianchen Zhou et al.
Summary of Analyzing Emotional Trends From X Platform Using Senticnet: a Comparative Analysis with Cryptocurrency Price, by Moein Shahiki Tash et al.