Paper List

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Summary of Downstream-pretext Domain Knowledge Traceback For Active Learning, by Beichen Zhang et al.
Summary of Metaaug: Meta-data Augmentation For Post-training Quantization, by Cuong Pham et al.
Summary of Feddm: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models, by Jayneel Vora et al.
Summary of Voices in a Crowd: Searching For Clusters Of Unique Perspectives, by Nikolas Vitsakis et al.
Summary of Personalized Multi-tier Federated Learning, by Sourasekhar Banerjee et al.
Summary of Hyperparameter Optimization For Driving Strategies Based on Reinforcement Learning, by Nihal Acharya Adde et al.
Summary of Modality-order Matters! a Novel Hierarchical Feature Fusion Method For Cosam: a Code-switched Autism Corpus, by Mohd Mujtaba Akhtar et al.
Summary of Quantifying the Value Of Positive Transfer: An Experimental Case Study, by Aidan J. Hughes et al.
Summary of Improving Gbdt Performance on Imbalanced Datasets: An Empirical Study Of Class-balanced Loss Functions, by Jiaqi Luo et al.
Summary of Open Artificial Knowledge, by Vadim Borisov et al.
Summary of Deal: Disentangle and Localize Concept-level Explanations For Vlms, by Tang Li et al.
Summary of Frontiers Of Deep Learning: From Novel Application to Real-world Deployment, by Rui Xie
Summary of Glaudio Listens to the Sound Of the Graph, by Aurelio Sulser et al.
Summary of System-1.x: Learning to Balance Fast and Slow Planning with Language Models, by Swarnadeep Saha et al.
Summary of Jumping Ahead: Improving Reconstruction Fidelity with Jumprelu Sparse Autoencoders, by Senthooran Rajamanoharan et al.
Summary of The Extrapolation Power Of Implicit Models, by Juliette Decugis et al.
Summary of Polyformer: Scalable Node-wise Filters Via Polynomial Graph Transformer, by Jiahong Ma et al.
Summary of Survrelu: Inherently Interpretable Survival Analysis Via Deep Relu Networks, by Xiaotong Sun et al.
Summary of Data-centric Human Preference Optimization with Rationales, by Hoang Anh Just et al.
Summary of Chatqa 2: Bridging the Gap to Proprietary Llms in Long Context and Rag Capabilities, by Peng Xu et al.
Summary of Interpbench: Semi-synthetic Transformers For Evaluating Mechanistic Interpretability Techniques, by Rohan Gupta et al.
Summary of Conformal Thresholded Intervals For Efficient Regression, by Rui Luo and Zhixin Zhou
Summary of Discover-then-name: Task-agnostic Concept Bottlenecks Via Automated Concept Discovery, by Sukrut Rao et al.
Summary of Shape and Style Gan-based Multispectral Data Augmentation For Crop/weed Segmentation in Precision Farming, by Mulham Fawakherji et al.
Summary of Disensemi: Semi-supervised Graph Classification Via Disentangled Representation Learning, by Yifan Wang et al.
Summary of Forward-forward Learning Achieves Highly Selective Latent Representations For Out-of-distribution Detection in Fully Spiking Neural Networks, by Erik B. Terres-escudero et al.
Summary of Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-stokes and Atmospheric Dynamics, by Matthias Karlbauer et al.
Summary of Class-incremental Learning with Clip: Adaptive Representation Adjustment and Parameter Fusion, by Linlan Huang et al.
Summary of Early Preparation Pays Off: New Classifier Pre-tuning For Class Incremental Semantic Segmentation, by Zhengyuan Xie et al.
Summary of A Comparative Study Of Deep Reinforcement Learning Models: Dqn Vs Ppo Vs A2c, by Neil De La Fuente and Daniel A. Vidal Guerra
Summary of On Maximum Entropy Linear Feature Inversion, by Paul M Baggenstoss
Summary of On Policy Evaluation Algorithms in Distributional Reinforcement Learning, by Julian Gerstenberg et al.
Summary of Achieving Well-informed Decision-making in Drug Discovery: a Comprehensive Calibration Study Using Neural Network-based Structure-activity Models, by Hannah Rosa Friesacher et al.
Summary of Watermark Smoothing Attacks Against Language Models, by Hongyan Chang et al.
Summary of Enhancing Variable Importance in Random Forests: a Novel Application Of Global Sensitivity Analysis, by Giulia Vannucci et al.
Summary of Longhorn: State Space Models Are Amortized Online Learners, by Bo Liu et al.
Summary of Advanced Predictive Modeling For Enhanced Mortality Prediction in Icu Stroke Patients Using Clinical Data, by Armin Abdollahi and Negin Ashrafi and Maryam Pishgar
Summary of Unlearning Concepts From Text-to-video Diffusion Models, by Shiqi Liu et al.
Summary of Etscl: An Evidence Theory-based Supervised Contrastive Learning Framework For Multi-modal Glaucoma Grading, by Zhiyuan Yang et al.
Summary of Domain Adaptation For Industrial Time-series Forecasting Via Counterfactual Inference, by Chao Min et al.
Summary of Realistic Evaluation Of Test-time Adaptation Algorithms: Unsupervised Hyperparameter Selection, by Sebastian Cygert et al.
Summary of An Attention-based Representation Distillation Baseline For Multi-label Continual Learning, by Martin Menabue et al.
Summary of Continual Learning For Adaptable Car-following in Dynamic Traffic Environments, by Xianda Chen et al.
Summary of Event-triggered Reinforcement Learning Based Joint Resource Allocation For Ultra-reliable Low-latency V2x Communications, by Nasir Khan and Sinem Coleri
Summary of Brsr-opgan: Blind Radar Signal Restoration Using Operational Generative Adversarial Network, by Muhammad Uzair Zahid et al.
Summary of The Group Robustness Is in the Details: Revisiting Finetuning Under Spurious Correlations, by Tyler Labonte et al.
Summary of Neural Topology Optimization: the Good, the Bad, and the Ugly, by Suryanarayanan Manoj Sanu et al.
Summary of A Unified Confidence Sequence For Generalized Linear Models, with Applications to Bandits, by Junghyun Lee et al.
Summary of Dual Adversarial and Contrastive Network For Single-source Domain Generalization in Fault Diagnosis, by Guangqiang Li et al.
Summary of Truthfulness Of Calibration Measures, by Nika Haghtalab et al.
Summary of Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge From Large Language Models, By Quan Li et al.
Summary of Time Series Generative Learning with Application to Brain Imaging Analysis, by Zhenghao Li et al.
Summary of Pass++: a Dual Bias Reduction Framework For Non-exemplar Class-incremental Learning, by Fei Zhu et al.
Summary of Investigating the Indirect Object Identification Circuit in Mamba, by Danielle Ensign et al.
Summary of Berter: the Efficient One, by Pradyumna Saligram et al.
Summary of Hecix: Integrating Knowledge Graphs and Large Language Models For Biomedical Research, by Prerana Sanjay Kulkarni et al.
Summary of Generative Language Model For Catalyst Discovery, by Dong Hyeon Mok and Seoin Back
Summary of Rasa: Building Expressive Speech Synthesis Systems For Indian Languages in Low-resource Settings, by Praveen Srinivasa Varadhan et al.
Summary of Lazyllm: Dynamic Token Pruning For Efficient Long Context Llm Inference, by Qichen Fu et al.
Summary of On the Causal Sufficiency and Necessity Of Multi-modal Representation Learning, by Jingyao Wang et al.
Summary of Msct: Addressing Time-varying Confounding with Marginal Structural Causal Transformer For Counterfactual Post-crash Traffic Prediction, by Shuang Li et al.
Summary of 360vfi: a Dataset and Benchmark For Omnidirectional Video Frame Interpolation, by Wenxuan Lu et al.
Summary of Domain-specific Pretraining Of Language Models: a Comparative Study in the Medical Field, by Tobias Kerner
Summary of Predictive Low Rank Matrix Learning Under Partial Observations: Mixed-projection Admm, by Dimitris Bertsimas and Nicholas A. G. Johnson
Summary of Understanding Reinforcement Learning-based Fine-tuning Of Diffusion Models: a Tutorial and Review, by Masatoshi Uehara et al.
Summary of Optimistic Q-learning For Average Reward and Episodic Reinforcement Learning, by Priyank Agrawal and Shipra Agrawal
Summary of Multi-label Learning with Stronger Consistency Guarantees, by Anqi Mao et al.
Summary of Assessing the Potential Of Planetscope Satellite Imagery to Estimate Particulate Matter Oxidative Potential, by Ian Hough et al.
Summary of Random Latent Exploration For Deep Reinforcement Learning, by Srinath Mahankali et al.
Summary of Rdbe: Reasoning Distillation-based Evaluation Enhances Automatic Essay Scoring, by Ali Ghiasvand Mohammadkhani
Summary of Revisiting Attention For Multivariate Time Series Forecasting, by Haixiang Wu
Summary of Many Perception Tasks Are Highly Redundant Functions Of Their Input Data, by Rahul Ramesh et al.
Summary of Coxse: Exploring the Potential Of Self-explaining Neural Networks with Cox Proportional Hazards Model For Survival Analysis, by Abdallah Alabdallah et al.
Summary of Temperature Distribution Prediction in Laser Powder Bed Fusion Using Transferable and Scalable Graph Neural Networks, by Riddhiman Raut et al.
Summary of Forecasting Gpu Performance For Deep Learning Training and Inference, by Seonho Lee et al.
Summary of X-former: Unifying Contrastive and Reconstruction Learning For Mllms, by Sirnam Swetha et al.
Summary of Enhancing Worldwide Image Geolocation by Ensembling Satellite-based Ground-level Attribute Predictors, By Michael J. Bianco et al.
Summary of Keypoint Aware Masked Image Modelling, by Madhava Krishna et al.
Summary of Privacy-preserving Gradient-based Fair Federated Learning, by Janis Adamek et al.
Summary of Data-algorithm-architecture Co-optimization For Fair Neural Networks on Skin Lesion Dataset, by Yi Sheng et al.
Summary of Crafting Efficient Fine-tuning Strategies For Large Language Models, by Michael Oliver and Guan Wang
Summary of Continual Distillation Learning: Knowledge Distillation in Prompt-based Continual Learning, by Qifan Zhang et al.
Summary of Synthetic Counterfactual Faces, by Guruprasad V Ramesh et al.
Summary of Instance Selection For Dynamic Algorithm Configuration with Reinforcement Learning: Improving Generalization, by Carolin Benjamins et al.
Summary of Model-based Policy Optimization Using Symbolic World Model, by Andrey Gorodetskiy et al.
Summary of Indic Qa Benchmark: a Multilingual Benchmark to Evaluate Question Answering Capability Of Llms For Indic Languages, by Abhishek Kumar Singh et al.
Summary of Discussion: Effective and Interpretable Outcome Prediction by Training Sparse Mixtures Of Linear Experts, By Francesco Folino et al.
Summary of Meshfeat: Multi-resolution Features For Neural Fields on Meshes, by Mihir Mahajan and Florian Hofherr and Daniel Cremers
Summary of Evaluating the Performance-deviation Of Itemknn in Recbole and Lenskit, by Michael Schmidt et al.
Summary of Energydiff: Universal Time-series Energy Data Generation Using Diffusion Models, by Nan Lin et al.
Summary of Mechanistically Interpreting a Transformer-based 2-sat Solver: An Axiomatic Approach, by Nils Palumbo et al.
Summary of Physics-guided Active Sample Reweighting For Urban Flow Prediction, by Wei Jiang et al.
Summary of Differential Privacy Mechanisms in Neural Tangent Kernel Regression, by Jiuxiang Gu et al.
Summary of Data Alchemy: Mitigating Cross-site Model Variability Through Test Time Data Calibration, by Abhijeet Parida et al.
Summary of Cognivoice: Multimodal and Multilingual Fusion Networks For Mild Cognitive Impairment Assessment From Spontaneous Speech, by Jiali Cheng et al.
Summary of Decision Focused Causal Learning For Direct Counterfactual Marketing Optimization, by Hao Zhou et al.
Summary of Non-asymptotic Uncertainty Quantification in High-dimensional Learning, by Frederik Hoppe et al.
Summary of Pasta: Controllable Part-aware Shape Generation with Autoregressive Transformers, by Songlin Li et al.
Summary of Discovering Governing Equation in Structural Dynamics From Acceleration-only Measurements, by Calvin Alvares and Souvik Chakraborty
Summary of Understanding Reference Policies in Direct Preference Optimization, by Yixin Liu et al.