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