Paper List

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Summary of Evofa: Evolvable Fast Adaptation For Eeg Emotion Recognition, by Ming Jin et al.
Summary of Training Neural Networks For Modularity Aids Interpretability, by Satvik Golechha et al.
Summary of The Roles Of Generative Artificial Intelligence in Internet Of Electric Vehicles, by Hanwen Zhang et al.
Summary of Multitask Mayhem: Unveiling and Mitigating Safety Gaps in Llms Fine-tuning, by Essa Jan et al.
Summary of Novel Saliency Analysis For the Forward Forward Algorithm, by Mitra Bakhshi
Summary of Fine-tuning a Time Series Foundation Model with Wasserstein Loss, by Andrei Chernov
Summary of Trajectory Anomaly Detection with Language Models, by Jonathan Mbuya et al.
Summary of Medcoder: a Generative Ai Assistant For Medical Coding, by Krishanu Das Baksi et al.
Summary of Geometric Relational Embeddings, by Bo Xiong
Summary of Smirk: An Atomically Complete Tokenizer For Molecular Foundation Models, by Alexius Wadell et al.
Summary of Fuzzy Rule Based Intelligent Cardiovascular Disease Prediction Using Complex Event Processing, by Shashi Shekhar Kumar et al.
Summary of Enhancing Performance and Scalability Of Large-scale Recommendation Systems with Jagged Flash Attention, by Rengan Xu et al.
Summary of Controlmath: Controllable Data Generation Promotes Math Generalist Models, by Nuo Chen et al.
Summary of Adversarial Attacks on Parts Of Speech: An Empirical Study in Text-to-image Generation, by G M Shahariar et al.
Summary of Coverage and Bias Of Street View Imagery in Mapping the Urban Environment, by Zicheng Fan et al.
Summary of Supply Risk-aware Alloy Discovery and Design, by Mrinalini Mulukutla (1) et al.
Summary of Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient, by Shaoqi Wang and Chunjie Yang and Siwei Lou
Summary of Neural Control Variates with Automatic Integration, by Zilu Li et al.
Summary of Eagle: Efficient Training-free Router For Multi-llm Inference, by Zesen Zhao et al.
Summary of Enabling Efficient On-device Fine-tuning Of Llms Using Only Inference Engines, by Lei Gao et al.
Summary of Candere-coach: Reinforcement Learning From Noisy Feedback, by Yuxuan Li et al.
Summary of Stalactite: Toolbox For Fast Prototyping Of Vertical Federated Learning Systems, by Anastasiia Zakharova et al.
Summary of Causkelnet: Causal Representation Learning For Human Behaviour Analysis, by Xingrui Gu et al.
Summary of Aste Transformer Modelling Dependencies in Aspect-sentiment Triplet Extraction, by Iwo Naglik and Mateusz Lango
Summary of Flens: Federated Learning with Enhanced Nesterov-newton Sketch, by Sunny Gupta et al.
Summary of Motifdisco: Motif Causal Discovery For Time Series Motifs, by Josephine Lamp et al.
Summary of Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information, by Rei Tamaru et al.
Summary of On-air Deep Learning Integrated Semantic Inference Models For Enhanced Earth Observation Satellite Networks, by Hong-fu Chou et al.
Summary of Uda-bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework, by Tarun Kalluri et al.
Summary of Archon: An Architecture Search Framework For Inference-time Techniques, by Jon Saad-falcon et al.
Summary of Peer-to-peer Learning Dynamics Of Wide Neural Networks, by Shreyas Chaudhari et al.
Summary of Reservoir Static Property Estimation Using Nearest-neighbor Neural Network, by Yuhe Wang
Summary of Style Outweighs Substance: Failure Modes Of Llm Judges in Alignment Benchmarking, by Benjamin Feuer et al.
Summary of Visual Prompting in Multimodal Large Language Models: a Survey, by Junda Wu et al.
Summary of Enhancing Coastal Water Body Segmentation with Landsat Irish Coastal Segmentation (lics) Dataset, by Conor O’sullivan et al.
Summary of Reducing Bias in Deep Learning Optimization: the Rsgdm Approach, by Honglin Qin et al.
Summary of An Efficient Recommendation Model Based on Knowledge Graph Attention-assisted Network (kgatax), by Zhizhong Wu
Summary of Electrooptical Image Synthesis From Sar Imagery Using Generative Adversarial Networks, by Grant Rosario et al.
Summary of Video-driven Graph Network-based Simulators, by Franciszek Szewczyk et al.
Summary of Block-attention For Efficient Rag, by East Sun et al.
Summary of Watch Your Steps: Observable and Modular Chains Of Thought, by Cassandra A. Cohen and William W. Cohen
Summary of Reward-robust Rlhf in Llms, by Yuzi Yan et al.
Summary of Combustion Condition Identification Using a Decision Tree Based Machine Learning Algorithm Applied to a Model Can Combustor with High Shear Swirl Injector, by Pk Archhith et al.
Summary of Dynamic Integration Of Task-specific Adapters For Class Incremental Learning, by Jiashuo Li et al.
Summary of Acting For the Right Reasons: Creating Reason-sensitive Artificial Moral Agents, by Kevin Baum et al.
Summary of Evaluating Synthetic Activations Composed Of Sae Latents in Gpt-2, by Giorgi Giglemiani et al.
Summary of A Diagonal Structured State Space Model on Loihi 2 For Efficient Streaming Sequence Processing, by Svea Marie Meyer et al.
Summary of Region Mixup, by Saptarshi Saha and Utpal Garain
Summary of Anomaly Detection From a Tensor Train Perspective, by Alejandro Mata Ali et al.
Summary of Shfl: Secure Hierarchical Federated Learning Framework For Edge Networks, by Omid Tavallaie et al.
Summary of Adapfair: Ensuring Continuous Fairness For Machine Learning Operations, by Yinghui Huang et al.
Summary of Efficiently Dispatching Flash Attention For Partially Filled Attention Masks, by Agniv Sharma and Jonas Geiping
Summary of Robust Federated Learning Over the Air: Combating Heavy-tailed Noise with Median Anchored Clipping, by Jiaxing Li et al.
Summary of The Bravo Semantic Segmentation Challenge Results in Uncv2024, by Tuan-hung Vu et al.
Summary of The Number Of Trials Matters in Infinite-horizon General-utility Markov Decision Processes, by Pedro P. Santos et al.
Summary of Designing An Interpretable Interface For Contextual Bandits, by Andrew Maher et al.
Summary of Rethinking Conventional Wisdom in Machine Learning: From Generalization to Scaling, by Lechao Xiao
Summary of A Gated Residual Kolmogorov-arnold Networks For Mixtures Of Experts, by Hugo Inzirillo and Remi Genet
Summary of Harmonic Path Integral Diffusion, by Hamidreza Behjoo et al.
Summary of Interpretability-guided Test-time Adversarial Defense, by Akshay Kulkarni and Tsui-wei Weng
Summary of Data-driven Model Discovery with Kolmogorov-arnold Networks, by Mohammadamin Moradi et al.
Summary of Enabling Tensor Decomposition For Time-series Classification Via a Simple Pseudo-laplacian Contrast, by Man Li et al.
Summary of Hydrovision: Lidar-guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning, by Naghmeh Shafiee Roudbari et al.
Summary of Patch Ranking: Efficient Clip by Learning to Rank Local Patches, By Cheng-en Wu et al.
Summary of Protein-mamba: Biological Mamba Models For Protein Function Prediction, by Bohao Xu et al.
Summary of Harmonising the Clinical Melody: Tuning Large Language Models For Hospital Course Summarisation in Clinical Coding, by Bokang Bi et al.
Summary of Not Only the Last-layer Features For Spurious Correlations: All Layer Deep Feature Reweighting, by Humza Wajid Hameed et al.
Summary of Memeclip: Leveraging Clip Representations For Multimodal Meme Classification, by Siddhant Bikram Shah et al.
Summary of Edsnet: Efficient-dsnet For Video Summarization, by Ashish Prasad et al.
Summary of Research on Dynamic Data Flow Anomaly Detection Based on Machine Learning, by Liyang Wang et al.
Summary of Sdba: a Stealthy and Long-lasting Durable Backdoor Attack in Federated Learning, by Minyeong Choe et al.
Summary of Isometric Immersion Learning with Riemannian Geometry, by Zihao Chen et al.
Summary of Disentanglement with Factor Quantized Variational Autoencoders, by Gulcin Baykal et al.
Summary of Varade: a Variational-based Autoregressive Model For Anomaly Detection on the Edge, by Alessio Mascolini et al.
Summary of Orthogonal Finetuning For Direct Preference Optimization, by Chenxu Yang et al.
Summary of Embedding Knowledge Graph in Function Spaces, by Louis Mozart Kamdem Teyou and Caglar Demir and Axel-cyrille Ngonga Ngomo
Summary of Testing Dependency Of Weighted Random Graphs, by Mor Oren and Vered Paslev and Wasim Huleihel
Summary of Novel Gradient Sparsification Algorithm Via Bayesian Inference, by Ali Bereyhi and Ben Liang and Gary Boudreau and Ali Afana
Summary of Kriformer: a Novel Spatiotemporal Kriging Approach Based on Graph Transformers, by Renbin Pan et al.
Summary of Fastgl: a Gpu-efficient Framework For Accelerating Sampling-based Gnn Training at Large Scale, by Zeyu Zhu et al.
Summary of Adaptive Learning on User Segmentation: Universal to Specific Representation Via Bipartite Neural Interaction, by Xiaoyu Tan et al.
Summary of (de)-regularized Maximum Mean Discrepancy Gradient Flow, by Zonghao Chen et al.
Summary of On the Specialization Of Neural Modules, by Devon Jarvis et al.
Summary of Cosbo: Conservative Offline Simulation-based Policy Optimization, by Eshagh Kargar and Ville Kyrki
Summary of Investigating the Impact Of Hard Samples on Accuracy Reveals In-class Data Imbalance, by Pawel Pukowski and Haiping Lu
Summary of Challenging the Performance-interpretability Trade-off: An Evaluation Of Interpretable Machine Learning Models, by Sven Kruschel et al.
Summary of Exploring Multilingual Probing in Large Language Models: a Cross-language Analysis, by Daoyang Li et al.
Summary of Synbench: a Synthetic Benchmark For Non-rigid 3d Point Cloud Registration, by Sara Monji-azad et al.
Summary of Cpt-boosted Wav2vec2.0: Towards Noise Robust Speech Recognition For Classroom Environments, by Ahmed Adel Attia et al.
Summary of Tabgraphs: a Benchmark and Strong Baselines For Learning on Graphs with Tabular Node Features, by Gleb Bazhenov et al.
Summary of Distributionally Robust Inverse Reinforcement Learning For Identifying Multi-agent Coordinated Sensing, by Luke Snow et al.
Summary of Order Of Magnitude Speedups For Llm Membership Inference, by Rongting Zhang and Martin Bertran and Aaron Roth
Summary of Tracknetv4: Enhancing Fast Sports Object Tracking with Motion Attention Maps, by Arjun Raj et al.
Summary of Exploiting Exogenous Structure For Sample-efficient Reinforcement Learning, by Jia Wan et al.
Summary of Adaptive Feedforward Gradient Estimation in Neural Odes, by Jaouad Dabounou
Summary of Evaluating the Performance and Robustness Of Llms in Materials Science Q&a and Property Predictions, by Hongchen Wang et al.
Summary of Domain Knowledge-guided Machine Learning Framework For State Of Health Estimation in Lithium-ion Batteries, by Andrea Lanubile and Pietro Bosoni and Gabriele Pozzato and Anirudh Allam and Matteo Acquarone and Simona Onori
Summary of Backtracking Improves Generation Safety, by Yiming Zhang et al.
Summary of Medical Concept Normalization in a Low-resource Setting, by Tim Patzelt
Summary of Testing Causal Models with Hidden Variables in Polynomial Delay Via Conditional Independencies, by Hyunchai Jeong et al.