Paper List

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Summary of Spot Check Equivalence: An Interpretable Metric For Information Elicitation Mechanisms, by Shengwei Xu et al.
Summary of Algoformer: An Efficient Transformer Framework with Algorithmic Structures, by Yihang Gao et al.
Summary of Todo: Token Downsampling For Efficient Generation Of High-resolution Images, by Ethan Smith et al.
Summary of Unsupervised Concept Discovery Mitigates Spurious Correlations, by Md Rifat Arefin et al.
Summary of Statistical Curriculum Learning: An Elimination Algorithm Achieving An Oracle Risk, by Omer Cohen et al.
Summary of The Uncanny Valley: a Comprehensive Analysis Of Diffusion Models, by Karam Ghanem et al.
Summary of Fidlar: Forecast-informed Deep Learning Architecture For Flood Mitigation, by Jimeng Shi et al.
Summary of Toward Transformers: Revolutionizing the Solution Of Mixed Integer Programs with Transformers, by Joshua F. Cooper et al.
Summary of Referee-meta-learning For Fast Adaptation Of Locational Fairness, by Weiye Chen et al.
Summary of Transformer Tricks: Precomputing the First Layer, by Nils Graef
Summary of The Dimension Of Self-directed Learning, by Pramith Devulapalli and Steve Hanneke
Summary of Fairness Risks For Group-conditionally Missing Demographics, by Kaiqi Jiang et al.
Summary of Towards Accelerating Physical Discovery Via Non-interactive and Interactive Multi-fidelity Bayesian Optimization: Current Challenges and Future Opportunities, by Arpan Biswas et al.
Summary of Scaling Physics-informed Hard Constraints with Mixture-of-experts, by Nithin Chalapathi and Yiheng Du and Aditi Krishnapriyan
Summary of Bayesian Neural Networks with Domain Knowledge Priors, by Dylan Sam et al.
Summary of Harnessing Large Language Models As Post-hoc Correctors, by Zhiqiang Zhong and Kuangyu Zhou and Davide Mottin
Summary of Efficiently Predicting Mutational Effect on Homologous Proteins by Evolution Encoding, By Zhiqiang Zhong and Davide Mottin
Summary of Context-aware Quantitative Risk Assessment Machine Learning Model For Drivers Distraction, by Adebamigbe Fasanmade et al.
Summary of Investigating the Histogram Loss in Regression, by Ehsan Imani et al.
Summary of Linksage: Optimizing Job Matching Using Graph Neural Networks, by Ping Liu et al.
Summary of Drbenchmark: a Large Language Understanding Evaluation Benchmark For French Biomedical Domain, by Yanis Labrak et al.
Summary of Packd: Pattern-clustered Knowledge Distillation For Compressing Memory Access Prediction Models, by Neelesh Gupta et al.
Summary of Ed-copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance, by Liwen Sun et al.
Summary of Buffgraph: Enhancing Class-imbalanced Node Classification Via Buffer Nodes, by Qian Wang et al.
Summary of Defending Jailbreak Prompts Via In-context Adversarial Game, by Yujun Zhou et al.
Summary of Neural Network Diffusion, by Kai Wang et al.
Summary of Order-optimal Regret in Distributed Kernel Bandits Using Uniform Sampling with Shared Randomness, by Nikola Pavlovic et al.
Summary of Testing Calibration in Nearly-linear Time, by Lunjia Hu and Arun Jambulapati and Kevin Tian and Chutong Yang
Summary of Practical Kernel Tests Of Conditional Independence, by Roman Pogodin et al.
Summary of Bayesian Reward Models For Llm Alignment, by Adam X. Yang et al.
Summary of Soft Self-consistency Improves Language Model Agents, by Han Wang et al.
Summary of Probabilities Of Chat Llms Are Miscalibrated but Still Predict Correctness on Multiple-choice Q&a, by Benjamin Plaut et al.
Summary of Analyzing Operator States and the Impact Of Ai-enhanced Decision Support in Control Rooms: a Human-in-the-loop Specialized Reinforcement Learning Framework For Intervention Strategies, by Ammar N. Abbas et al.
Summary of Chili: Chemically-informed Large-scale Inorganic Nanomaterials Dataset For Advancing Graph Machine Learning, by Ulrik Friis-jensen et al.
Summary of Smore: Similarity-based Hyperdimensional Domain Adaptation For Multi-sensor Time Series Classification, by Junyao Wang et al.
Summary of Federated Causal Discovery From Heterogeneous Data, by Loka Li et al.
Summary of Smaug: Fixing Failure Modes Of Preference Optimisation with Dpo-positive, by Arka Pal et al.
Summary of Countercurate: Enhancing Physical and Semantic Visio-linguistic Compositional Reasoning Via Counterfactual Examples, by Jianrui Zhang et al.
Summary of Leveraging Pac-bayes Theory and Gibbs Distributions For Generalization Bounds with Complexity Measures, by Paul Viallard et al.
Summary of Harmful Algal Bloom Forecasting. a Comparison Between Stream and Batch Learning, by Andres Molares-ulloa et al.
Summary of Causal Hybrid Modeling with Double Machine Learning, by Kai-hendrik Cohrs et al.
Summary of Incentivized Exploration Via Filtered Posterior Sampling, by Anand Kalvit et al.
Summary of Combining Unsupervised and Supervised Learning in Microscopy Enables Defect Analysis Of a Full 4h-sic Wafer, by Binh Duong Nguyen et al.
Summary of Graphgini: Fostering Individual and Group Fairness in Graph Neural Networks, by Anuj Kumar Sirohi et al.
Summary of Discovering Behavioral Modes in Deep Reinforcement Learning Policies Using Trajectory Clustering in Latent Space, by Sindre Benjamin Remman and Anastasios M. Lekkas
Summary of Conditional Logical Message Passing Transformer For Complex Query Answering, by Chongzhi Zhang et al.
Summary of Stochastic Approximation Approach to Federated Machine Learning, by Srihari P V and Bharath Bhikkaji
Summary of Towards Robust Graph Incremental Learning on Evolving Graphs, by Junwei Su et al.
Summary of Trap: Targeted Random Adversarial Prompt Honeypot For Black-box Identification, by Martin Gubri et al.
Summary of Improve Cross-architecture Generalization on Dataset Distillation, by Binglin Zhou et al.
Summary of Improving Neural-based Classification with Logical Background Knowledge, by Arthur Ledaguenel et al.
Summary of Enhancing Node Representations For Real-world Complex Networks with Topological Augmentation, by Xiangyu Zhao et al.
Summary of Align Your Intents: Offline Imitation Learning Via Optimal Transport, by Maksim Bobrin et al.
Summary of Text-guided Molecule Generation with Diffusion Language Model, by Haisong Gong et al.
Summary of Mechanistic Neural Networks For Scientific Machine Learning, by Adeel Pervez et al.
Summary of It Intrusion Detection Using Statistical Learning and Testbed Measurements, by Xiaoxuan Wang and Rolf Stadler
Summary of Mode Estimation with Partial Feedback, by Charles Arnal et al.
Summary of Towards An Empirical Understanding Of Moe Design Choices, by Dongyang Fan et al.
Summary of Revisiting Differentially Private Hyper-parameter Tuning, by Zihang Xiang et al.
Summary of A Microstructure-based Graph Neural Network For Accelerating Multiscale Simulations, by J. Storm et al.
Summary of Multivariate Functional Linear Discriminant Analysis For the Classification Of Short Time Series with Missing Data, by Rahul Bordoloi et al.
Summary of On Generalization Bounds For Deep Compound Gaussian Neural Networks, by Carter Lyons et al.
Summary of Sprinql: Sub-optimal Demonstrations Driven Offline Imitation Learning, by Huy Hoang et al.
Summary of On Sensitivity Of Learning with Limited Labelled Data to the Effects Of Randomness: Impact Of Interactions and Systematic Choices, by Branislav Pecher et al.
Summary of Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-even Performance, by Branislav Pecher et al.
Summary of Identifying Factual Inconsistencies in Summaries: Grounding Llm Inference Via Task Taxonomy, by Liyan Xu et al.
Summary of Sgd with Clipping Is Secretly Estimating the Median Gradient, by Fabian Schaipp et al.
Summary of Promptkd: Distilling Student-friendly Knowledge For Generative Language Models Via Prompt Tuning, by Gyeongman Kim et al.
Summary of Instruction-tuned Language Models Are Better Knowledge Learners, by Zhengbao Jiang et al.
Summary of Ccfc++: Enhancing Federated Clustering Through Feature Decorrelation, by Jie Yan et al.
Summary of Backward Lens: Projecting Language Model Gradients Into the Vocabulary Space, by Shahar Katz et al.
Summary of Bounding Reconstruction Attack Success Of Adversaries Without Data Priors, by Alexander Ziller et al.
Summary of Differentiable Mapper For Topological Optimization Of Data Representation, by Ziyad Oulhaj et al.
Summary of Skill or Luck? Return Decomposition Via Advantage Functions, by Hsiao-ru Pan et al.
Summary of Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature Of Feasible Sets, By Taira Tsuchiya et al.
Summary of Chain Of Thought Empowers Transformers to Solve Inherently Serial Problems, by Zhiyuan Li et al.
Summary of Federated Multi-task Learning on Non-iid Data Silos: An Experimental Study, by Yuwen Yang et al.
Summary of More Discriminative Sentence Embeddings Via Semantic Graph Smoothing, by Chakib Fettal et al.
Summary of A Bound on the Maximal Marginal Degrees Of Freedom, by Paul Dommel
Summary of Data Pipeline Training: Integrating Automl to Optimize the Data Flow Of Machine Learning Models, by Jiang Wu et al.
Summary of Realcompo: Balancing Realism and Compositionality Improves Text-to-image Diffusion Models, by Xinchen Zhang et al.
Summary of Right on Time: Revising Time Series Models by Constraining Their Explanations, By Maurice Kraus et al.
Summary of Learning Exceptional Subgroups by End-to-end Maximizing Kl-divergence, By Sascha Xu et al.
Summary of Learning on Manifolds Without Manifold Learning, by H. N. Mhaskar and Ryan O’dowd
Summary of Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-series Dependencies and Intra-series Variations Modeling, by Guoqi Yu et al.
Summary of Uniform Last-iterate Guarantee For Bandits and Reinforcement Learning, by Junyan Liu et al.
Summary of Spurious Correlations in Machine Learning: a Survey, by Wenqian Ye et al.
Summary of An Equivariant Pretrained Transformer For Unified 3d Molecular Representation Learning, by Rui Jiao et al.
Summary of Structural Knowledge Informed Continual Multivariate Time Series Forecasting, by Zijie Pan et al.
Summary of Diffusion Posterior Sampling Is Computationally Intractable, by Shivam Gupta et al.
Summary of Modality-aware Integration with Large Language Models For Knowledge-based Visual Question Answering, by Junnan Dong et al.
Summary of Scalable and Reliable Deep Transfer Learning For Intelligent Fault Detection Via Multi-scale Neural Processes Embedded with Knowledge, by Zhongzhi Li et al.
Summary of Umbclu at Semeval-2024 Task 1a and 1c: Semantic Textual Relatedness with and Without Machine Translation, by Shubhashis Roy Dipta and Sai Vallurupalli
Summary of Guarantee Regions For Local Explanations, by Marton Havasi et al.
Summary of Static Vs. Dynamic Databases For Indoor Localization Based on Wi-fi Fingerprinting: a Discussion From a Data Perspective, by Zhe Tang et al.
Summary of Fgad: Self-boosted Knowledge Distillation For An Effective Federated Graph Anomaly Detection Framework, by Jinyu Cai et al.
Summary of Learning Under Singularity: An Information Criterion Improving Wbic and Sbic, by Lirui Liu and Joe Suzuki
Summary of Nonstationary Time Series Forecasting Via Unknown Distribution Adaptation, by Zijian Li et al.
Summary of Fairness Without Harm: An Influence-guided Active Sampling Approach, by Jinlong Pang et al.
Summary of Byzantine-robust Federated Learning: Impact Of Client Subsampling and Local Updates, by Youssef Allouah et al.