Paper List

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Summary of Bilora: a Bi-level Optimization Framework For Overfitting-resilient Low-rank Adaptation Of Large Pre-trained Models, by Rushi Qiang et al.
Summary of Jaxued: a Simple and Useable Ued Library in Jax, by Samuel Coward et al.
Summary of Simple Ingredients For Offline Reinforcement Learning, by Edoardo Cetin et al.
Summary of Lnpt: Label-free Network Pruning and Training, by Jinying Xiao et al.
Summary of Audio-visual Compound Expression Recognition Method Based on Late Modality Fusion and Rule-based Decision, by Elena Ryumina et al.
Summary of Seven: Pruning Transformer Model by Reserving Sentinels, By Jinying Xiao et al.
Summary of Selective, Interpretable, and Motion Consistent Privacy Attribute Obfuscation For Action Recognition, by Filip Ilic et al.
Summary of Instance-warp: Saliency Guided Image Warping For Unsupervised Domain Adaptation, by Shen Zheng et al.
Summary of Bilevel Hypergraph Networks For Multi-modal Alzheimer’s Diagnosis, by Angelica I. Aviles-rivero et al.
Summary of Posterior Uncertainty Quantification in Neural Networks Using Data Augmentation, by Luhuan Wu et al.
Summary of Tighter Confidence Bounds For Sequential Kernel Regression, by Hamish Flynn et al.
Summary of Neural Parameter Regression For Explicit Representations Of Pde Solution Operators, by Konrad Mundinger et al.
Summary of Flowerformer: Empowering Neural Architecture Encoding Using a Flow-aware Graph Transformer, by Dongyeong Hwang et al.
Summary of Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness, by Cheng-long Wang et al.
Summary of Melting Point: Mobile Evaluation Of Language Transformers, by Stefanos Laskaridis et al.
Summary of Equivariant Ensembles and Regularization For Reinforcement Learning in Map-based Path Planning, by Mirco Theile and Hongpeng Cao and Marco Caccamo and Alberto L. Sangiovanni-vincentelli
Summary of A Comparison Of Deep Learning Architectures For Spacecraft Anomaly Detection, by Daniel Lakey and Tim Schlippe
Summary of Wildfire Danger Prediction Optimization with Transfer Learning, by Spiros Maggioros and Nikos Tsalkitzis
Summary of Policy Bifurcation in Safe Reinforcement Learning, by Wenjun Zou et al.
Summary of Short-term Solar Irradiance Forecasting Under Data Transmission Constraints, by Joshua Edward Hammond (1) et al.
Summary of Neural Differential Algebraic Equations, by James Koch et al.
Summary of Generalizable and Stable Finetuning Of Pretrained Language Models on Low-resource Texts, by Sai Ashish Somayajula et al.
Summary of Sample Complexity Of Offline Distributionally Robust Linear Markov Decision Processes, by He Wang et al.
Summary of Do Generated Data Always Help Contrastive Learning?, by Yifei Wang et al.
Summary of Non-negative Contrastive Learning, by Yifei Wang et al.
Summary of When Do “more Contexts” Help with Sarcasm Recognition?, by Ojas Nimase et al.
Summary of Fairsin: Achieving Fairness in Graph Neural Networks Through Sensitive Information Neutralization, by Cheng Yang et al.
Summary of Tt-blip: Enhancing Fake News Detection Using Blip and Tri-transformer, by Eunjee Choi et al.
Summary of Ntk-guided Few-shot Class Incremental Learning, by Jingren Liu et al.
Summary of A Trainable Feature Extractor Module For Deep Neural Networks and Scanpath Classification, by Wolfgang Fuhl
Summary of Generalized Consistency Trajectory Models For Image Manipulation, by Beomsu Kim and Jaemin Kim and Jeongsol Kim and Jong Chul Ye
Summary of Projected Forward Gradient-guided Frank-wolfe Algorithm Via Variance Reduction, by M. Rostami et al.
Summary of Contextualized Messages Boost Graph Representations, by Brian Godwin Lim et al.
Summary of Pretraining Codomain Attention Neural Operators For Solving Multiphysics Pdes, by Md Ashiqur Rahman et al.
Summary of Confidence Self-calibration For Multi-label Class-incremental Learning, by Kaile Du et al.
Summary of Affinequant: Affine Transformation Quantization For Large Language Models, by Yuexiao Ma et al.
Summary of Pepr: Performance Per Resource Unit As a Metric to Promote Small-scale Deep Learning in Medical Image Analysis, by Raghavendra Selvan et al.
Summary of A Practical Guide to Sample-based Statistical Distances For Evaluating Generative Models in Science, by Sebastian Bischoff et al.
Summary of Sun Team’s Contribution to Abaw 2024 Competition: Audio-visual Valence-arousal Estimation and Expression Recognition, by Denis Dresvyanskiy et al.
Summary of Automated Contrastive Learning Strategy Search For Time Series, by Baoyu Jing et al.
Summary of Deciphering Automl Ensembles: Cattleia’s Assistance in Decision-making, by Anna Kozak et al.
Summary of Improving Interpretability Of Scores in Anomaly Detection Based on Gaussian-bernoulli Restricted Boltzmann Machine, by Kaiji Sekimoto and Muneki Yasuda
Summary of Prompt-fused Framework For Inductive Logical Query Answering, by Zezhong Xu et al.
Summary of Temporally-consistent Koopman Autoencoders For Forecasting Dynamical Systems, by Indranil Nayak et al.
Summary of Friendly Sharpness-aware Minimization, by Tao Li et al.
Summary of Fedfisher: Leveraging Fisher Information For One-shot Federated Learning, by Divyansh Jhunjhunwala et al.
Summary of Sim2real in Reconstructive Spectroscopy: Deep Learning with Augmented Device-informed Data Simulation, by Jiyi Chen et al.
Summary of Dmad: Dual Memory Bank For Real-world Anomaly Detection, by Jianlong Hu et al.
Summary of U-net Kalman Filter (unetkf): An Example Of Machine Learning-assisted Ensemble Data Assimilation, by Feiyu Lu
Summary of Semisupervised Score Based Matching Algorithm to Evaluate the Effect Of Public Health Interventions, by Hongzhe Zhang et al.
Summary of Cross-domain Pre-training with Language Models For Transferable Time Series Representations, by Mingyue Cheng et al.
Summary of Advancing Time Series Classification with Multimodal Language Modeling, by Mingyue Cheng et al.
Summary of Fairstg: Countering Performance Heterogeneity Via Collaborative Sample-level Optimization, by Gengyu Lin et al.
Summary of Dynamic Gradient Influencing For Viral Marketing Using Graph Neural Networks, by Saurabh Sharma et al.
Summary of Finding the Missing Data: a Bert-inspired Approach Against Package Loss in Wireless Sensing, by Zijian Zhao et al.
Summary of Towards Interpretable Hate Speech Detection Using Large Language Model-extracted Rationales, by Ayushi Nirmal et al.
Summary of Offline Imitation Of Badminton Player Behavior Via Experiential Contexts and Brownian Motion, by Kuang-da Wang et al.
Summary of Understanding and Improving Training-free Loss-based Diffusion Guidance, by Yifei Shen et al.
Summary of On Predictive Planning and Counterfactual Learning in Active Inference, by Aswin Paul et al.
Summary of Stg-mamba: Spatial-temporal Graph Learning Via Selective State Space Model, by Lincan Li et al.
Summary of Transfer in Sequential Multi-armed Bandits Via Reward Samples, by Rahul N R and Vaibhav Katewa
Summary of Transformmix: Learning Transformation and Mixing Strategies From Data, by Tsz-him Cheung et al.
Summary of Jetfire: Efficient and Accurate Transformer Pretraining with Int8 Data Flow and Per-block Quantization, by Haocheng Xi et al.
Summary of Approximation Of Rkhs Functionals by Neural Networks, By Tian-yi Zhou et al.
Summary of Flex: Joint Pose and Dynamic Radiance Fields Optimization For Stereo Endoscopic Videos, by Florian Philipp Stilz et al.
Summary of Petscml: Second-order Solvers For Training Regression Problems in Scientific Machine Learning, by Stefano Zampini et al.
Summary of Compositional Learning Of Functions in Humans and Machines, by Yanli Zhou et al.
Summary of Evaluating Named Entity Recognition: a Comparative Analysis Of Mono- and Multilingual Transformer Models on a Novel Brazilian Corporate Earnings Call Transcripts Dataset, by Ramon Abilio et al.
Summary of Large-scale Flood Modeling and Forecasting with Floodcast, by Qingsong Xu et al.
Summary of Efficient Transformer-based Hyper-parameter Optimization For Resource-constrained Iot Environments, by Ibrahim Shaer et al.
Summary of Improving Generalization Via Meta-learning on Hard Samples, by Nishant Jain et al.
Summary of Stochastic Rounding Implicitly Regularizes Tall-and-thin Matrices, by Gregory Dexter et al.
Summary of Reference-based Metrics Disprove Themselves in Question Generation, by Bang Nguyen et al.
Summary of Finllama: Financial Sentiment Classification For Algorithmic Trading Applications, by Thanos Konstantinidis et al.
Summary of Data-efficient Contrastive Language-image Pretraining: Prioritizing Data Quality Over Quantity, by Siddharth Joshi et al.
Summary of Molecular Classification Using Hyperdimensional Graph Classification, by Pere Verges et al.
Summary of Approximated Likelihood Ratio: a Forward-only and Parallel Framework For Boosting Neural Network Training, by Zeliang Zhang et al.
Summary of Improving Lora in Privacy-preserving Federated Learning, by Youbang Sun et al.
Summary of Reinforcement Learning From Delayed Observations Via World Models, by Armin Karamzade et al.
Summary of Enhanced Detection Of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices, by Manuel E. Segura et al.
Summary of Hiding and Recovering Knowledge in Text-to-image Diffusion Models Via Learnable Prompts, by Anh Bui et al.
Summary of Gt-rain Single Image Deraining Challenge Report, by Howard Zhang and Yunhao Ba and Ethan Yang and Rishi Upadhyay and Alex Wong and Achuta Kadambi and Yun Guo and Xueyao Xiao and Xiaoxiong Wang and Yi Li and Yi Chang and Luxin Yan and Chaochao Zheng and Luping Wang and Bin Liu and Sunder Ali Khowaja and Jiseok Yoon and Ik-hyun Lee and Zhao Zhang and Yanyan Wei and Jiahuan Ren and Suiyi Zhao and Huan Zheng
Summary of Methods For Generating Drift in Text Streams, by Cristiano Mesquita Garcia et al.
Summary of Envgen: Generating and Adapting Environments Via Llms For Training Embodied Agents, by Abhay Zala et al.
Summary of Supervised Fine-tuning As Inverse Reinforcement Learning, by Hao Sun
Summary of Flexcap: Describe Anything in Images in Controllable Detail, by Debidatta Dwibedi et al.
Summary of Align and Distill: Unifying and Improving Domain Adaptive Object Detection, by Justin Kay et al.
Summary of Expandable Subspace Ensemble For Pre-trained Model-based Class-incremental Learning, by Da-wei Zhou et al.
Summary of Routerbench: a Benchmark For Multi-llm Routing System, by Qitian Jason Hu et al.
Summary of Vfusion3d: Learning Scalable 3d Generative Models From Video Diffusion Models, by Junlin Han et al.
Summary of One-step Image Translation with Text-to-image Models, by Gaurav Parmar et al.
Summary of Mobile Application For Oral Disease Detection Using Federated Learning, by Shankara Narayanan V et al.
Summary of Consistency Model Is An Effective Posterior Sample Approximation For Diffusion Inverse Solvers, by Tongda Xu et al.
Summary of Evaluating Terrain-dependent Performance For Martian Frost Detection in Visible Satellite Observations, by Gary Doran et al.
Summary of The Boy Who Survived: Removing Harry Potter From An Llm Is Harder Than Reported, by Adam Shostack
Summary of Are Llms Good Cryptic Crossword Solvers?, by Abdelrahman Sadallah et al.
Summary of Deep Generative Design For Mass Production, by Jihoon Kim et al.
Summary of Gcam: Gaussian and Causal-attention Model Of Food Fine-grained Recognition, by Guohang Zhuang et al.
Summary of Circular Belief Propagation For Approximate Probabilistic Inference, by Vincent Bouttier et al.
Summary of Variational Approach For Efficient Kl Divergence Estimation in Dirichlet Mixture Models, by Samyajoy Pal et al.