Paper List
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Summary of Impact Of Emoji Exclusion on the Performance Of Arabic Sarcasm Detection Models, by Ghalyah H. Aleryani et al.
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Summary of Position: Why We Must Rethink Empirical Research in Machine Learning, by Moritz Herrmann et al.
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Summary of Designed Dithering Sign Activation For Binary Neural Networks, by Brayan Monroy et al.
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Summary of Fair Risk Control: a Generalized Framework For Calibrating Multi-group Fairness Risks, by Lujing Zhang et al.
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Summary of A Novel Approach to Guard From Adversarial Attacks Using Stable Diffusion, by Trinath Sai Subhash Reddy Pittala et al.
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Summary of Closing the Gap: Achieving Global Convergence (last Iterate) Of Actor-critic Under Markovian Sampling with Neural Network Parametrization, by Mudit Gaur and Amrit Singh Bedi and Di Wang and Vaneet Aggarwal
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Summary of Enhancing Bangla Language Next Word Prediction and Sentence Completion Through Extended Rnn with Bi-lstm Model on N-gram Language, by Md Robiul Islam et al.
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Summary of Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls, by Sicong Liu et al.
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Summary of Instance-conditioned Adaptation For Large-scale Generalization Of Neural Combinatorial Optimization, by Changliang Zhou et al.
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Summary of Slotgat: Slot-based Message Passing For Heterogeneous Graph Neural Network, by Ziang Zhou et al.
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Summary of Impact Of Architectural Modifications on Deep Learning Adversarial Robustness, by Firuz Juraev et al.
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Summary of Three Quantization Regimes For Relu Networks, by Weigutian Ou et al.
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Summary of Dependency-aware Semi-structured Sparsity Of Glu Variants in Large Language Models, by Zhiyu Guo et al.
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Summary of Multitask Extension Of Geometrically Aligned Transfer Encoder, by Sung Moon Ko et al.
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Summary of Position: Understanding Llms Requires More Than Statistical Generalization, by Patrik Reizinger et al.
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Summary of Quantifying Distribution Shifts and Uncertainties For Enhanced Model Robustness in Machine Learning Applications, by Vegard Flovik
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Summary of Conformal Prediction For Natural Language Processing: a Survey, by Margarida M. Campos et al.
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Summary of Soft Label Pu Learning, by Puning Zhao et al.
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Summary of Mathematics Of Statistical Sequential Decision-making: Concentration, Risk-awareness and Modelling in Stochastic Bandits, with Applications to Bariatric Surgery, by Patrick Saux
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Summary of Cooperation and Federation in Distributed Radar Point Cloud Processing, by S. Savazzi et al.
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Summary of Stabilizing Backpropagation Through Time to Learn Complex Physics, by Patrick Schnell and Nils Thuerey
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Summary of Zero-sum Positional Differential Games As a Framework For Robust Reinforcement Learning: Deep Q-learning Approach, by Anton Plaksin and Vitaly Kalev
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Summary of Federated Learning For Tabular Data Using Tabnet: a Vehicular Use-case, by William Lindskog and Christian Prehofer
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Summary of Few-sample Variational Inference Of Bayesian Neural Networks with Arbitrary Nonlinearities, by David J. Schodt
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Summary of Intelligent Switching For Reset-free Rl, by Darshan Patil et al.
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Summary of Language-enhanced Latent Representations For Out-of-distribution Detection in Autonomous Driving, by Zhenjiang Mao et al.
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Summary of Optimization Without Retraction on the Random Generalized Stiefel Manifold, by Simon Vary et al.
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Summary of A Deep Causal Inference Model For Fully-interpretable Travel Behaviour Analysis, by Kimia Kamal and Bilal Farooq
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Summary of Individual Fairness Through Reweighting and Tuning, by Abdoul Jalil Djiberou Mahamadou et al.
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Summary of Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps, by Yuwei Liu et al.
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Summary of Inherent Trade-offs Between Diversity and Stability in Multi-task Benchmarks, by Guanhua Zhang and Moritz Hardt
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Summary of Robust Risk-sensitive Reinforcement Learning with Conditional Value-at-risk, by Xinyi Ni and Lifeng Lai
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Summary of Dynamic Anisotropic Smoothing For Noisy Derivative-free Optimization, by Sam Reifenstein et al.
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Summary of Sample-efficient Neural Likelihood-free Bayesian Inference Of Implicit Hmms, by Sanmitra Ghosh and Paul J. Birrell and Daniela De Angelis
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Summary of Enhancing User Experience in On-device Machine Learning with Gated Compression Layers, by Haiguang Li et al.
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Summary of Large Language Models For Uavs: Current State and Pathways to the Future, by Shumaila Javaid et al.
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Summary of Alcm: Autonomous Llm-augmented Causal Discovery Framework, by Elahe Khatibi et al.
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Summary of Reinforcement Learning-guided Semi-supervised Learning, by Marzi Heidari et al.
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Summary of Multivariate Bayesian Last Layer For Regression: Uncertainty Quantification and Disentanglement, by Han Wang et al.
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Summary of Eig-search: Generating Edge-induced Subgraphs For Gnn Explanation in Linear Time, by Shengyao Lu et al.
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Summary of Hierarchical Mixture Of Discriminative Generalized Dirichlet Classifiers, by Elvis Togban and Djemel Ziou
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Summary of Non-linear Welfare-aware Strategic Learning, by Tian Xie et al.
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Summary of Efficient and Economic Large Language Model Inference with Attention Offloading, by Shaoyuan Chen et al.
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Summary of Uniformly Stable Algorithms For Adversarial Training and Beyond, by Jiancong Xiao et al.
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Summary of Multi-space Alignments Towards Universal Lidar Segmentation, by Youquan Liu and Lingdong Kong and Xiaoyang Wu and Runnan Chen and Xin Li and Liang Pan and Ziwei Liu and Yuexin Ma
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Summary of Early-stage Detection Of Cognitive Impairment by Hybrid Quantum-classical Algorithm Using Resting-state Functional Mri Time-series, By Junggu Choi et al.
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Summary of Configurable Learned Holography, by Yicheng Zhan et al.
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Summary of Mitigating Llm Hallucinations Via Conformal Abstention, by Yasin Abbasi Yadkori et al.
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Summary of Hatetinyllm : Hate Speech Detection Using Tiny Large Language Models, by Tanmay Sen et al.
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Summary of Text Quality-based Pruning For Efficient Training Of Language Models, by Vasu Sharma et al.
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Summary of Medifact at Mediqa-m3g 2024: Medical Question Answering in Dermatology with Multimodal Learning, by Nadia Saeed
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Summary of Lightweight Conceptual Dictionary Learning For Text Classification Using Information Compression, by Li Wan et al.
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Summary of Improve Academic Query Resolution Through Bert-based Question Extraction From Images, by Nidhi Kamal et al.
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Summary of Kite: a Kernel-based Improved Transferability Estimation Method, by Yunhui Guo
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Summary of Wildfire Risk Prediction: a Review, by Zhengsen Xu et al.
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Summary of Efficient Sample-specific Encoder Perturbations, by Yassir Fathullah et al.
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Summary of Unifying and Extending Precision Recall Metrics For Assessing Generative Models, by Benjamin Sykes et al.
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Summary of Rulsurv: a Probabilistic Survival-based Method For Early Censoring-aware Prediction Of Remaining Useful Life in Ball Bearings, by Christian Marius Lillelund et al.
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Summary of An Explainable and Conformal Ai Model to Detect Temporomandibular Joint Involvement in Children Suffering From Juvenile Idiopathic Arthritis, by Lena Todnem Bach Christensen et al.
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Summary of S4: Self-supervised Sensing Across the Spectrum, by Jayanth Shenoy et al.
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Summary of When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with Corex, by Bettina Finzel and Patrick Hilme and Johannes Rabold and Ute Schmid
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Summary of Atnpa: a Unified View Of Oversmoothing Alleviation in Graph Neural Networks, by Yufei Jin and Xingquan Zhu
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Summary of Balance Reward and Safety Optimization For Safe Reinforcement Learning: a Perspective Of Gradient Manipulation, by Shangding Gu et al.
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Summary of Physics-informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations, by Nima Hosseini Dashtbayaz et al.
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Summary of Invariant Risk Minimization Is a Total Variation Model, by Zhao-rong Lai and Weiwen Wang
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Summary of Random Pareto Front Surfaces, by Ben Tu et al.
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Summary of Minigpt-3d: Efficiently Aligning 3d Point Clouds with Large Language Models Using 2d Priors, by Yuan Tang et al.
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Summary of Test-time Assessment Of a Model’s Performance on Unseen Domains Via Optimal Transport, by Akshay Mehra et al.
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Summary of Creative Problem Solving in Large Language and Vision Models — What Would It Take?, by Lakshmi Nair et al.
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Summary of Uqa: Corpus For Urdu Question Answering, by Samee Arif et al.
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Summary of Uncertainty For Active Learning on Graphs, by Dominik Fuchsgruber et al.
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Summary of Understanding Retrieval-augmented Task Adaptation For Vision-language Models, by Yifei Ming et al.
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Summary of Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning, by Junaid Akhter et al.
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Summary of Nemo-aligner: Scalable Toolkit For Efficient Model Alignment, by Gerald Shen et al.
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Summary of Navigating Heterogeneity and Privacy in One-shot Federated Learning with Diffusion Models, by Matias Mendieta et al.
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Summary of Digital Twin Generators For Disease Modeling, by Nameyeh Alam et al.
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Summary of Analyzing the Role Of Semantic Representations in the Era Of Large Language Models, by Zhijing Jin et al.
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Summary of Accelerating Convergence in Bayesian Few-shot Classification, by Tianjun Ke et al.
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Summary of Transformer-aided Semantic Communications, by Matin Mortaheb et al.
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Summary of A Separability-based Approach to Quantifying Generalization: Which Layer Is Best?, by Luciano Dyballa et al.
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Summary of Improving Intervention Efficacy Via Concept Realignment in Concept Bottleneck Models, by Nishad Singhi et al.
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Summary of Plan-seq-learn: Language Model Guided Rl For Solving Long Horizon Robotics Tasks, by Murtaza Dalal et al.
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Summary of Customizing Text-to-image Models with a Single Image Pair, by Maxwell Jones et al.
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Summary of Universal Imitation Games, by Sridhar Mahadevan
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Summary of Potential Energy Based Mixture Model For Noisy Label Learning, by Zijia Wang et al.
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Summary of Gradient-congruity Guided Federated Sparse Training, by Chris Xing Tian et al.
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Summary of Decoupling Feature Extraction and Classification Layers For Calibrated Neural Networks, by Mikkel Jordahn and Pablo M. Olmos
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Summary of Towards Interpretable Reinforcement Learning with Constrained Normalizing Flow Policies, by Finn Rietz et al.
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Summary of Improving Membership Inference in Asr Model Auditing with Perturbed Loss Features, by Francisco Teixeira et al.
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Summary of Error-driven Uncertainty Aware Training, by Pedro Mendes and Paolo Romano and David Garlan
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Summary of Boosting Jailbreak Attack with Momentum, by Yihao Zhang et al.
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Summary of Prompt Engineering Paradigms For Medical Applications: Scoping Review and Recommendations For Better Practices, by Jamil Zaghir et al.
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Summary of Lying Graph Convolution: Learning to Lie For Node Classification Tasks, by Daniele Castellana
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Summary of Revisiting Semi-supervised Training Objectives For Differentiable Particle Filters, by Jiaxi Li et al.
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Summary of Causal Influence in Federated Edge Inference, by Mert Kayaalp et al.
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Summary of Continuously Evolving Rewards in An Open-ended Environment, by Richard M. Bailey
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Summary of An Online Gradient-based Caching Policy with Logarithmic Complexity and Regret Guarantees, by Damiano Carra and Giovanni Neglia
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Summary of The Importance Of Model Inspection For Better Understanding Performance Characteristics Of Graph Neural Networks, by Nairouz Shehata et al.
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Summary of The Effectiveness Of Llms As Annotators: a Comparative Overview and Empirical Analysis Of Direct Representation, by Maja Pavlovic et al.
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Summary of Graph Is All You Need? Lightweight Data-agnostic Neural Architecture Search Without Training, by Zhenhan Huang et al.