Paper List

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Summary of Anytime Neural Architecture Search on Tabular Data, by Naili Xing et al.
Summary of Cdgp: Automatic Cloze Distractor Generation Based on Pre-trained Language Model, by Shang-hsuan Chiang and Ssu-cheng Wang and Yao-chung Fan
Summary of Towards Non-adversarial Algorithmic Recourse, by Tobias Leemann et al.
Summary of Fisher Mask Nodes For Language Model Merging, by Thennal D K et al.
Summary of Timemachine: a Time Series Is Worth 4 Mambas For Long-term Forecasting, by Md Atik Ahamed et al.
Summary of Robust Subgraph Learning by Monitoring Early Training Representations, By Sepideh Neshatfar et al.
Summary of Fedcomloc: Communication-efficient Distributed Training Of Sparse and Quantized Models, by Kai Yi et al.
Summary of Attention-based Class-conditioned Alignment For Multi-source Domain Adaptation Of Object Detectors, by Atif Belal and Akhil Meethal and Francisco Perdigon Romero and Marco Pedersoli and Eric Granger
Summary of Recurrent Drafter For Fast Speculative Decoding in Large Language Models, by Yunfei Cheng and Aonan Zhang and Xuanyu Zhang and Chong Wang and Yi Wang
Summary of Quality-diversity Actor-critic: Learning High-performing and Diverse Behaviors Via Value and Successor Features Critics, by Luca Grillotti et al.
Summary of Global Convergence Guarantees For Federated Policy Gradient Methods with Adversaries, by Swetha Ganesh et al.
Summary of Prediction Of Vessel Arrival Time to Pilotage Area Using Multi-data Fusion and Deep Learning, by Xiaocai Zhang et al.
Summary of Online Gnn Evaluation Under Test-time Graph Distribution Shifts, by Xin Zheng et al.
Summary of Unlocking the Multi-modal Potential Of Clip For Generalized Category Discovery, by Enguang Wang et al.
Summary of Ad3: Implicit Action Is the Key For World Models to Distinguish the Diverse Visual Distractors, by Yucen Wang et al.
Summary of Linear Optimal Transport Subspaces For Point Set Classification, by Mohammad Shifat E Rabbi et al.
Summary of Towards Adversarially Robust Dataset Distillation by Curvature Regularization, By Eric Xue et al.
Summary of Unified Projection-free Algorithms For Adversarial Dr-submodular Optimization, by Mohammad Pedramfar et al.
Summary of A Structure-preserving Kernel Method For Learning Hamiltonian Systems, by Jianyu Hu et al.
Summary of A Survey Of Synthetic Data Augmentation Methods in Computer Vision, by Alhassan Mumuni et al.
Summary of Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks, by Shin’ya Yamaguchi et al.
Summary of Meta Operator For Complex Query Answering on Knowledge Graphs, by Hang Yin et al.
Summary of Regularization-based Efficient Continual Learning in Deep State-space Models, by Yuanhang Zhang et al.
Summary of A Natural Extension to Online Algorithms For Hybrid Rl with Limited Coverage, by Kevin Tan et al.
Summary of Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations, by Swapnaja Achintalwar et al.
Summary of A Short Review on Novel Approaches For Maximum Clique Problem: From Classical Algorithms to Graph Neural Networks and Quantum Algorithms, by Raffaele Marino et al.
Summary of Institutional-level Monitoring Of Immune Checkpoint Inhibitor Iraes Using a Novel Natural Language Processing Algorithmic Pipeline, by Michael Shapiro et al.
Summary of Investigating the Performance Of Retrieval-augmented Generation and Fine-tuning For the Development Of Ai-driven Knowledge-based Systems, by Robert Lakatos et al.
Summary of Claimver: Explainable Claim-level Verification and Evidence Attribution Of Text Through Knowledge Graphs, by Preetam Prabhu Srikar Dammu et al.
Summary of Towards Diverse Perspective Learning with Selection Over Multiple Temporal Poolings, by Jihyeon Seong et al.
Summary of The Human Factor in Detecting Errors Of Large Language Models: a Systematic Literature Review and Future Research Directions, by Christian A. Schiller
Summary of Estimating the History Of a Random Recursive Tree, by Simon Briend et al.
Summary of On the Utility Of 3d Hand Poses For Action Recognition, by Md Salman Shamil et al.
Summary of Emotional Intelligence Through Artificial Intelligence : Nlp and Deep Learning in the Analysis Of Healthcare Texts, by Prashant Kumar Nag et al.
Summary of Self-supervised Learning For Time Series: Contrastive or Generative?, by Ziyu Liu et al.
Summary of Towards the Reusability and Compositionality Of Causal Representations, by Davide Talon et al.
Summary of Few-shot Class Incremental Learning with Attention-aware Self-adaptive Prompt, by Chenxi Liu et al.
Summary of Mamba: An Effective World Model Approach For Meta-reinforcement Learning, by Zohar Rimon et al.
Summary of Ibrf: Improved Balanced Random Forest Classifier, by Asif Newaz et al.
Summary of Mind the Gap: Improving Robustness to Subpopulation Shifts with Group-aware Priors, by Tim G. J. Rudner et al.
Summary of Towards White Box Deep Learning, by Maciej Satkiewicz
Summary of Generalization Of Scaled Deep Resnets in the Mean-field Regime, by Yihang Chen et al.
Summary of Thermohands: a Benchmark For 3d Hand Pose Estimation From Egocentric Thermal Images, by Fangqiang Ding et al.
Summary of Don’t Judge by the Look: Towards Motion Coherent Video Representation, By Yitian Zhang et al.
Summary of Leveraging Prototypical Representations For Mitigating Social Bias Without Demographic Information, by Shadi Iskander et al.
Summary of Logits Of Api-protected Llms Leak Proprietary Information, by Matthew Finlayson et al.
Summary of Explorations in Texture Learning, by Blaine Hoak et al.
Summary of Self-consistency Training For Density-functional-theory Hamiltonian Prediction, by He Zhang et al.
Summary of Multi-fidelity Bayesian Optimization with Across-task Transferable Max-value Entropy Search, by Yunchuan Zhang et al.
Summary of Generalizing Denoising to Non-equilibrium Structures Improves Equivariant Force Fields, by Yi-lun Liao et al.
Summary of Algorithmic Syntactic Causal Identification, by Dhurim Cakiqi and Max A. Little
Summary of Iterative Forgetting: Online Data Stream Regression Using Database-inspired Adaptive Granulation, by Niket Kathiriya et al.
Summary of Mm1: Methods, Analysis & Insights From Multimodal Llm Pre-training, by Brandon Mckinzie et al.
Summary of Minimax Optimal and Computationally Efficient Algorithms For Distributionally Robust Offline Reinforcement Learning, by Zhishuai Liu et al.
Summary of Reawakening Knowledge: Anticipatory Recovery From Catastrophic Interference Via Structured Training, by Yanlai Yang et al.
Summary of Make-your-3d: Fast and Consistent Subject-driven 3d Content Generation, by Fangfu Liu et al.
Summary of Quiet-star: Language Models Can Teach Themselves to Think Before Speaking, by Eric Zelikman et al.
Summary of Transformers Get Stable: An End-to-end Signal Propagation Theory For Language Models, by Akhil Kedia et al.
Summary of On Unsupervised Image-to-image Translation and Gan Stability, by Bahaaeddin Alaila et al.
Summary of Vit-mul: a Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers, by Ikhyun Cho et al.
Summary of Navigating the Peril Of Generated Alternative Facts: a Chatgpt-4 Fabricated Omega Variant Case As a Cautionary Tale in Medical Misinformation, by Malik Sallam et al.
Summary of Comprer: a Multimodal Multi-objective Pretraining Framework For Enhanced Medical Image Representation, by Guy Lutsker et al.
Summary of Counterfactual Image Editing, by Yushu Pan et al.
Summary of On the Laplace Approximation As Model Selection Criterion For Gaussian Processes, by Andreas Besginow et al.
Summary of Upper Bound Of Bayesian Generalization Error in Partial Concept Bottleneck Model (cbm): Partial Cbm Outperforms Naive Cbm, by Naoki Hayashi and Yoshihide Sawada
Summary of Mcformer: Multivariate Time Series Forecasting with Mixed-channels Transformer, by Wenyong Han et al.
Summary of Uncertainty Quantification For Cross-subject Motor Imagery Classification, by Prithviraj Manivannan et al.
Summary of To Label or Not to Label: Hybrid Active Learning For Neural Machine Translation, by Abdul Hameed Azeemi et al.
Summary of Da-pfl: Dynamic Affinity Aggregation For Personalized Federated Learning, by Xu Yang et al.
Summary of Recursive Causal Discovery, by Ehsan Mokhtarian et al.
Summary of Selector: Heterogeneous Graph Network with Convolutional Masked Autoencoder For Multimodal Robust Prediction Of Cancer Survival, by Liangrui Pan et al.
Summary of Rethinking Autoencoders For Medical Anomaly Detection From a Theoretical Perspective, by Yu Cai et al.
Summary of User Identification Via Free Roaming Eye Tracking Data, by Rishabh Vallabh Varsha Haria et al.
Summary of Borrowing Treasures From Neighbors: In-context Learning For Multimodal Learning with Missing Modalities and Data Scarcity, by Zhuo Zhi et al.
Summary of Visa: Variational Inference with Sequential Sample-average Approximations, by Heiko Zimmermann et al.
Summary of Adversarial Fine-tuning Of Compressed Neural Networks For Joint Improvement Of Robustness and Efficiency, by Hallgrimur Thorsteinsson et al.
Summary of Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk, by Zhangheng Li et al.
Summary of Machine Learning For Structural Design Models Of Continuous Beam Systems Via Influence Zones, by Adrien Gallet et al.
Summary of Easy-to-hard Generalization: Scalable Alignment Beyond Human Supervision, by Zhiqing Sun et al.
Summary of Laying the Foundation First? Investigating the Generalization From Atomic Skills to Complex Reasoning Tasks, by Yuncheng Huang et al.
Summary of On Using Machine Learning Algorithms For Motorcycle Collision Detection, by Philipp Rodegast et al.
Summary of Equiav: Leveraging Equivariance For Audio-visual Contrastive Learning, by Jongsuk Kim et al.
Summary of A Reinforcement Learning Approach to Dairy Farm Battery Management Using Q Learning, by Nawazish Ali et al.
Summary of Towards Model-agnostic Posterior Approximation For Fast and Accurate Variational Autoencoders, by Yaniv Yacoby et al.
Summary of Usable Xai: 10 Strategies Towards Exploiting Explainability in the Llm Era, by Xuansheng Wu et al.
Summary of Towards Efficient Risk-sensitive Policy Gradient: An Iteration Complexity Analysis, by Rui Liu et al.
Summary of Autoguide: Automated Generation and Selection Of Context-aware Guidelines For Large Language Model Agents, by Yao Fu et al.
Summary of Architectural Implications Of Neural Network Inference For High Data-rate, Low-latency Scientific Applications, by Olivia Weng et al.
Summary of Detecting Anomalies in Dynamic Graphs Via Memory Enhanced Normality, by Jie Liu et al.
Summary of Ditmos: Delving Into Diverse Tiny-model Selection on Microcontrollers, by Xiao Ma et al.
Summary of Taming Cross-domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains, by Lei Wang et al.
Summary of Towards a Theory Of Model Distillation, by Enric Boix-adsera
Summary of Keyformer: Kv Cache Reduction Through Key Tokens Selection For Efficient Generative Inference, by Muhammad Adnan and Akhil Arunkumar and Gaurav Jain and Prashant J. Nair and Ilya Soloveychik and Purushotham Kamath
Summary of Hyperparameters in Continual Learning: a Reality Check, by Sungmin Cha and Kyunghyun Cho
Summary of Learning From Straggler Clients in Federated Learning, by Andrew Hard et al.
Summary of Soften to Defend: Towards Adversarial Robustness Via Self-guided Label Refinement, by Daiwei Yu and Zhuorong Li and Lina Wei and Canghong Jin and Yun Zhang and Sixian Chan
Summary of Sindy-rl: Interpretable and Efficient Model-based Reinforcement Learning, by Nicholas Zolman et al.
Summary of Autolora: Automatically Tuning Matrix Ranks in Low-rank Adaptation Based on Meta Learning, by Ruiyi Zhang et al.
Summary of Adedgedrop: Adversarial Edge Dropping For Robust Graph Neural Networks, by Zhaoliang Chen et al.
Summary of Optimal Top-two Method For Best Arm Identification and Fluid Analysis, by Agniv Bandyopadhyay et al.