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