Paper List

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Summary of Adversarial Attacks and Dimensionality in Text Classifiers, by Nandish Chattopadhyay et al.
Summary of Effector: a Python Package For Regional Explanations, by Vasilis Gkolemis et al.
Summary of Towards Detecting Unanticipated Bias in Large Language Models, by Anna Kruspe
Summary of Deep Privacy Funnel Model: From a Discriminative to a Generative Approach with An Application to Face Recognition, by Behrooz Razeghi et al.
Summary of On Stronger Computational Separations Between Multimodal and Unimodal Machine Learning, by Ari Karchmer
Summary of Mixture-of-depths: Dynamically Allocating Compute in Transformer-based Language Models, by David Raposo et al.
Summary of Llms in the Loop: Leveraging Large Language Model Annotations For Active Learning in Low-resource Languages, by Nataliia Kholodna et al.
Summary of Catgnn: Cost-efficient and Scalable Distributed Training For Graph Neural Networks, by Xin Huang et al.
Summary of Virtual Sensor For Real-time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks, by Mengjie Zhao et al.
Summary of A Strong Baseline For Molecular Few-shot Learning, by Philippe Formont et al.
Summary of Symbolic Prompt Program Search: a Structure-aware Approach to Efficient Compile-time Prompt Optimization, by Tobias Schnabel et al.
Summary of Heat Death Of Generative Models in Closed-loop Learning, by Matteo Marchi et al.
Summary of Semantic Augmentation in Images Using Language, by Sahiti Yerramilli et al.
Summary of Attribution Regularization For Multimodal Paradigms, by Sahiti Yerramilli et al.
Summary of Optimal Batch Allocation For Wireless Federated Learning, by Jaeyoung Song et al.
Summary of Fragnnet: a Deep Probabilistic Model For Mass Spectrum Prediction, by Adamo Young et al.
Summary of Enhancing Diffusion-based Point Cloud Generation with Smoothness Constraint, by Yukun Li et al.
Summary of Token Trails: Navigating Contextual Depths in Conversational Ai with Chatllm, by Md. Kowsher et al.
Summary of Benchmarking Large Language Models For Persian: a Preliminary Study Focusing on Chatgpt, by Amirhossein Abaskohi et al.
Summary of Enhancing Low-resource Llms Classification with Peft and Synthetic Data, by Parth Patwa et al.
Summary of Ad4rl: Autonomous Driving Benchmarks For Offline Reinforcement Learning with Value-based Dataset, by Dongsu Lee et al.
Summary of Rethinking Pruning For Vision-language Models: Strategies For Effective Sparsity and Performance Restoration, by Shwai He et al.
Summary of From Narratives to Numbers: Valid Inference Using Language Model Predictions From Verbal Autopsy Narratives, by Shuxian Fan et al.
Summary of Masked Completion Via Structured Diffusion with White-box Transformers, by Druv Pai et al.
Summary of Learning Transactions Representations For Information Management in Banks: Mastering Local, Global, and External Knowledge, by Alexandra Bazarova et al.
Summary of Noise Masking Attacks and Defenses For Pretrained Speech Models, by Matthew Jagielski et al.
Summary of Generalizable, Fast, and Accurate Deepqspr with Fastprop, by Jackson Burns and William Green
Summary of Red-teaming Segment Anything Model, by Krzysztof Jankowski et al.
Summary of Advancing Llm Reasoning Generalists with Preference Trees, by Lifan Yuan et al.
Summary of Egtr: Extracting Graph From Transformer For Scene Graph Generation, by Jinbae Im et al.
Summary of Variance-reduced Policy Gradient Approaches For Infinite Horizon Average Reward Markov Decision Processes, by Swetha Ganesh et al.
Summary of Imagenot: a Contrast with Imagenet Preserves Model Rankings, by Olawale Salaudeen and Moritz Hardt
Summary of K-percent Evaluation For Lifelong Rl, by Golnaz Mesbahi et al.
Summary of Ginopic: Topic Modeling with Graph Isomorphism Network, by Suman Adhya et al.
Summary of Remote Sensing Framework For Geological Mapping Via Stacked Autoencoders and Clustering, by Sandeep Nagar et al.
Summary of Lawinstruct: a Resource For Studying Language Model Adaptation to the Legal Domain, by Joel Niklaus et al.
Summary of Leveraging Machine Learning For Early Autism Detection Via Indt-asd Indian Database, by Trapti Shrivastava et al.
Summary of What Is to Be Gained by Ensemble Models in Analysis Of Spectroscopic Data?, By Katarina Domijan
Summary of A Generative Deep Learning Approach For Crash Severity Modeling with Imbalanced Data, by Junlan Chen et al.
Summary of Emergent Abilities in Reduced-scale Generative Language Models, by Sherin Muckatira et al.
Summary of Oostraj: Out-of-sight Trajectory Prediction with Vision-positioning Denoising, by Haichao Zhang et al.
Summary of Insights From the Use Of Previously Unseen Neural Architecture Search Datasets, by Rob Geada et al.
Summary of Deep Neural Networks with 3d Point Clouds For Empirical Friction Measurements in Hydrodynamic Flood Models, by Francisco Haces-garcia et al.
Summary of Is Exploration All You Need? Effective Exploration Characteristics For Transfer in Reinforcement Learning, by Jonathan C. Balloch et al.
Summary of Pairwise Similarity Distribution Clustering For Noisy Label Learning, by Sihan Bai
Summary of Detecting Gender Bias in Course Evaluations, by Sarah Lindau and Linnea Nilsson
Summary of Confidence-aware Reward Optimization For Fine-tuning Text-to-image Models, by Kyuyoung Kim et al.
Summary of Fast and Adaptive Questionnaires For Voting Advice Applications, by Fynn Bachmann et al.
Summary of Procedural Fairness in Machine Learning, by Ziming Wang et al.
Summary of Understanding How Codellms (mis)predict Types with Activation Steering, by Francesca Lucchetti and Arjun Guha
Summary of Adversarial Combinatorial Bandits with Switching Costs, by Yanyan Dong and Vincent Y. F. Tan
Summary of Humanizing Machine-generated Content: Evading Ai-text Detection Through Adversarial Attack, by Ying Zhou et al.
Summary of Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies, by Shlomi Weitzman and Sivan Sabato
Summary of Settling Time Vs. Accuracy Tradeoffs For Clustering Big Data, by Andrew Draganov et al.
Summary of Mesen: Exploit Multimodal Data to Design Unimodal Human Activity Recognition with Few Labels, by Lilin Xu et al.
Summary of Cam-based Methods Can See Through Walls, by Magamed Taimeskhanov and Ronan Sicre and Damien Garreau
Summary of Bi-lora: a Vision-language Approach For Synthetic Image Detection, by Mamadou Keita et al.
Summary of Towards Leveraging Automl For Sustainable Deep Learning: a Multi-objective Hpo Approach on Deep Shift Neural Networks, by Leona Hennig et al.
Summary of Dsgnn: a Dual-view Supergrid-aware Graph Neural Network For Regional Air Quality Estimation, by Xin Zhang et al.
Summary of Joint-task Regularization For Partially Labeled Multi-task Learning, by Kento Nishi et al.
Summary of Zero-shot Multi-lingual Speaker Verification in Clinical Trials, by Ali Akram et al.
Summary of Specularity Factorization For Low-light Enhancement, by Saurabh Saini and P J Narayanan
Summary of Delan: Dual-level Alignment For Vision-and-language Navigation by Cross-modal Contrastive Learning, By Mengfei Du et al.
Summary of Autodiff: Autoregressive Diffusion Modeling For Structure-based Drug Design, by Xinze Li et al.
Summary of Transformer Meets Wcdtw to Improve Real-time Battery Bids: a New Approach to Scenario Selection, by Sujal Bhavsar et al.
Summary of Release Of Pre-trained Models For the Japanese Language, by Kei Sawada et al.
Summary of Hemenet: Heterogeneous Multichannel Equivariant Network For Protein Multitask Learning, by Rong Han et al.
Summary of Incentives in Private Collaborative Machine Learning, by Rachael Hwee Ling Sim et al.
Summary of Selective Temporal Knowledge Graph Reasoning, by Zhongni Hou et al.
Summary of Preventing Model Collapse in Gaussian Process Latent Variable Models, by Ying Li et al.
Summary of Hessian-free Online Certified Unlearning, by Xinbao Qiao et al.
Summary of Conjugate-gradient-like Based Adaptive Moment Estimation Optimization Algorithm For Deep Learning, by Jiawu Tian et al.
Summary of Asymptotics Of Language Model Alignment, by Joy Qiping Yang and Salman Salamatian and Ziteng Sun and Ananda Theertha Suresh and Ahmad Beirami
Summary of Global Mapping Of Exposure and Physical Vulnerability Dynamics in Least Developed Countries Using Remote Sensing and Machine Learning, by Joshua Dimasaka et al.
Summary of Unifying Qualitative and Quantitative Safety Verification Of Dnn-controlled Systems, by Dapeng Zhi et al.
Summary of A Noisy Elephant in the Room: Is Your Out-of-distribution Detector Robust to Label Noise?, by Galadrielle Humblot-renaux and Sergio Escalera and Thomas B. Moeslund
Summary of Super-resolution Analysis For Landfill Waste Classification, by Matias Molina et al.
Summary of Neuromorphic Wireless Device-edge Co-inference Via the Directed Information Bottleneck, by Yuzhen Ke et al.
Summary of Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification, by Michael Mitsios et al.
Summary of Defense Without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay, by Yuhang Zhou et al.
Summary of A (more) Realistic Evaluation Setup For Generalisation Of Community Models on Malicious Content Detection, by Ivo Verhoeven et al.
Summary of When Does Subagging Work?, by Christos Revelas et al.
Summary of Doubly-robust Off-policy Evaluation with Estimated Logging Policy, by Kyungbok Lee et al.
Summary of Accelerating Transformer Pre-training with 2:4 Sparsity, by Yuezhou Hu et al.
Summary of Can Biases in Imagenet Models Explain Generalization?, by Paul Gavrikov and Janis Keuper
Summary of Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers, by Shourya Bose et al.
Summary of Temporally Consistent Unbalanced Optimal Transport For Unsupervised Action Segmentation, by Ming Xu et al.
Summary of Fair Mp-boost: Fair and Interpretable Minipatch Boosting, by Camille Olivia Little and Genevera I. Allen
Summary of Laying Anchors: Semantically Priming Numerals in Language Modeling, by Mandar Sharma et al.
Summary of Predicting the Performance Of Foundation Models Via Agreement-on-the-line, by Rahul Saxena et al.
Summary of Evaluating Large Language Models Using Contrast Sets: An Experimental Approach, by Manish Sanwal
Summary of Glemos: Benchmark For Instantaneous Graph Learning Model Selection, by Namyong Park et al.
Summary of Propensity Score Alignment Of Unpaired Multimodal Data, by Johnny Xi et al.
Summary of Extremum-seeking Action Selection For Accelerating Policy Optimization, by Ya-chien Chang and Sicun Gao
Summary of Hallucination Diversity-aware Active Learning For Text Summarization, by Yu Xia et al.
Summary of What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks, by Xingwu Chen et al.
Summary of Fairm: Learning Invariant Representations For Algorithmic Fairness and Domain Generalization with Minimax Optimality, by Sai Li and Linjun Zhang
Summary of Audio Simulation For Sound Source Localization in Virtual Evironment, by Yi Di Yuan et al.
Summary of Learning Equi-angular Representations For Online Continual Learning, by Minhyuk Seo et al.
Summary of Enhancing Functional Safety in Automotive Ams Circuits Through Unsupervised Machine Learning, by Ayush Arunachalam et al.