Paper List
We recommend you use the search box as this list is very long.
-
Summary of Transformllm: Adapting Large Language Models Via Llm-transformed Reading Comprehension Text, by Iftach Arbel et al.
-
Summary of Aiscivision: a Framework For Specializing Large Multimodal Models in Scientific Image Classification, by Brendan Hogan et al.
-
Summary of Trustworthiness Of Stochastic Gradient Descent in Distributed Learning, by Hongyang Li et al.
-
Summary of Modular Duality in Deep Learning, by Jeremy Bernstein and Laker Newhouse
-
Summary of Online Weighted Paging with Unknown Weights, by Orin Levy and Noam Touitou and Aviv Rosenberg
-
Summary of Explainable Artificial Intelligent (xai) For Predicting Asphalt Concrete Stiffness and Rutting Resistance: Integrating Bailey’s Aggregate Gradation Method, by Warat Kongkitkul et al.
-
Summary of Contrastive Learning with Auxiliary User Detection For Identifying Activities, by Wen Ge et al.
-
Summary of Domain-adaptive Pre-training Of Self-supervised Foundation Models For Medical Image Classification in Gastrointestinal Endoscopy, by Marcel Roth et al.
-
Summary of Vemoclap: a Video Emotion Classification Web Application, by Serkan Sulun et al.
-
Summary of Videosam: a Large Vision Foundation Model For High-speed Video Segmentation, by Chika Maduabuchi et al.
-
Summary of Towards Robust Out-of-distribution Generalization: Data Augmentation and Neural Architecture Search Approaches, by Haoyue Bai
-
Summary of Deep Optimizer States: Towards Scalable Training Of Transformer Models Using Interleaved Offloading, by Avinash Maurya et al.
-
Summary of Decoding Diffusion: a Scalable Framework For Unsupervised Analysis Of Latent Space Biases and Representations Using Natural Language Prompts, by E. Zhixuan Zeng and Yuhao Chen and Alexander Wong
-
Summary of Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise, by Farnoush Baghestani et al.
-
Summary of Mathematical Derivation Graphs: a Task For Summarizing Equation Dependencies in Stem Manuscripts, by Vishesh Prasad et al.
-
Summary of Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations For Unsupervised Time Series Anomaly Detection, by Ruyi Zhang et al.
-
Summary of Self-supervised Learning and Opportunistic Inference For Continuous Monitoring Of Freezing Of Gait in Parkinson’s Disease, by Shovito Barua Soumma et al.
-
Summary of Deconfounding Time Series Forecasting, by Wentao Gao et al.
-
Summary of Building, Reusing, and Generalizing Abstract Representations From Concrete Sequences, by Shuchen Wu et al.
-
Summary of Beyond Interpretability: the Gains Of Feature Monosemanticity on Model Robustness, by Qi Zhang et al.
-
Summary of Mind Your Step (by Step): Chain-of-thought Can Reduce Performance on Tasks Where Thinking Makes Humans Worse, by Ryan Liu et al.
-
Summary of Shallow Diffuse: Robust and Invisible Watermarking Through Low-dimensional Subspaces in Diffusion Models, by Wenda Li et al.
-
Summary of Stronger Regret Bounds For Safe Online Reinforcement Learning in the Linear Quadratic Regulator, by Benjamin Schiffer and Lucas Janson
-
Summary of Dual-agent Deep Reinforcement Learning For Dynamic Pricing and Replenishment, by Yi Zheng et al.
-
Summary of Fusedinf: Efficient Swapping Of Dnn Models For On-demand Serverless Inference Services on the Edge, by Sifat Ut Taki et al.
-
Summary of Lama: Stable Dual-domain Deep Reconstruction For Sparse-view Ct, by Chi Ding et al.
-
Summary of Llm-initialized Differentiable Causal Discovery, by Shiv Kampani et al.
-
Summary of Offline Reinforcement Learning with Combinatorial Action Spaces, by Matthew Landers et al.
-
Summary of Trajectory Flow Matching with Applications to Clinical Time Series Modeling, by Xi Zhang et al.
-
Summary of Bongllama: Llama For Bangla Language, by Abdullah Khan Zehady et al.
-
Summary of Hope: a Novel Positional Encoding Without Long-term Decay For Enhanced Context Awareness and Extrapolation, by Yuhan Chen et al.
-
Summary of Vision Search Assistant: Empower Vision-language Models As Multimodal Search Engines, by Zhixin Zhang et al.
-
Summary of Lora Vs Full Fine-tuning: An Illusion Of Equivalence, by Reece Shuttleworth et al.
-
Summary of Reconstructing Dynamics From Sparse Observations with No Training on Target System, by Zheng-meng Zhai et al.
-
Summary of Flaming-hot Initiation with Regular Execution Sampling For Large Language Models, by Weizhe Chen et al.
-
Summary of Longreward: Improving Long-context Large Language Models with Ai Feedback, by Jiajie Zhang et al.
-
Summary of Capacity-aware Planning and Scheduling in Budget-constrained Monotonic Mdps: a Meta-rl Approach, by Manav Vora et al.
-
Summary of Blast: Block-level Adaptive Structured Matrices For Efficient Deep Neural Network Inference, by Changwoo Lee et al.
-
Summary of Diff-instruct*: Towards Human-preferred One-step Text-to-image Generative Models, by Weijian Luo and Colin Zhang and Debing Zhang and Zhengyang Geng
-
Summary of Constrained Optimal Fuel Consumption Of Hev:considering the Observational Perturbation, by Shuchang Yan and Haoran Sun
-
Summary of Facts: a Factored State-space Framework For World Modelling, by Li Nanbo et al.
-
Summary of Neural Hamilton: Can A.i. Understand Hamiltonian Mechanics?, by Tae-geun Kim et al.
-
Summary of Neuro-symbolic Learning Yielding Logical Constraints, by Zenan Li et al.
-
Summary of Detective: Detecting Ai-generated Text Via Multi-level Contrastive Learning, by Xun Guo et al.
-
Summary of Bluesuffix: Reinforced Blue Teaming For Vision-language Models Against Jailbreak Attacks, by Yunhan Zhao et al.
-
Summary of A Semi-supervised Cart Model For Covariate Shift, by Mingyang Cai et al.
-
Summary of A Review Of Graph-powered Data Quality Applications For Iot Monitoring Sensor Networks, by Pau Ferrer-cid et al.
-
Summary of Physics-informed Partitioned Coupled Neural Operator For Complex Networks, by Weidong Wu et al.
-
Summary of Transferable Post-training Via Inverse Value Learning, by Xinyu Lu et al.
-
Summary of Graph Based Traffic Analysis and Delay Prediction, by Gabriele Borg and Charlie Abela
-
Summary of Banditcat and Autoirt: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration, by James Sharpnack et al.
-
Summary of Beyond Autoregression: Fast Llms Via Self-distillation Through Time, by Justin Deschenaux et al.
-
Summary of Getting by Goal Misgeneralization with a Little Help From a Mentor, By Tu Trinh et al.
-
Summary of Learning to Handle Complex Constraints For Vehicle Routing Problems, by Jieyi Bi et al.
-
Summary of Emocpd: Efficient Attention-based Models For Computational Protein Design Using Amino Acid Microenvironment, by Xiaoqi Ling et al.
-
Summary of Federated Time Series Generation on Feature and Temporally Misaligned Data, by Chenrui Fan et al.
-
Summary of Skip2-lora: a Lightweight On-device Dnn Fine-tuning Method For Low-cost Edge Devices, by Hiroki Matsutani et al.
-
Summary of Robust Estimation For Kernel Exponential Families with Smoothed Total Variation Distances, by Takafumi Kanamori et al.
-
Summary of Scaling-based Data Augmentation For Generative Models and Its Theoretical Extension, by Yoshitaka Koike et al.
-
Summary of Mrt5: Dynamic Token Merging For Efficient Byte-level Language Models, by Julie Kallini et al.
-
Summary of Introducing Spectral Attention For Long-range Dependency in Time Series Forecasting, by Bong Gyun Kang et al.
-
Summary of Kd-lora: a Hybrid Approach to Efficient Fine-tuning with Lora and Knowledge Distillation, by Rambod Azimi et al.
-
Summary of Graph-based Uncertainty Metrics For Long-form Language Model Outputs, by Mingjian Jiang and Yangjun Ruan and Prasanna Sattigeri and Salim Roukos and Tatsunori Hashimoto
-
Summary of Sculpt: Systematic Tuning Of Long Prompts, by Shanu Kumar et al.
-
Summary of Adversarial Constrained Policy Optimization: Improving Constrained Reinforcement Learning by Adapting Budgets, By Jianmina Ma et al.
-
Summary of Reduction-based Pseudo-label Generation For Instance-dependent Partial Label Learning, by Congyu Qiao et al.
-
Summary of Deep Learning For Medical Text Processing: Bert Model Fine-tuning and Comparative Study, by Jiacheng Hu et al.
-
Summary of Zgan: An Outlier-focused Generative Adversarial Network For Realistic Synthetic Data Generation, by Azizjon Azimi et al.
-
Summary of Bridging the Gap Between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation, by Jaechang Kim and Jinmin Goh and Inseok Hwang and Jaewoong Cho and Jungseul Ok
-
Summary of Fidelity-imposed Displacement Editing For the Learn2reg 2024 Shg-bf Challenge, by Jiacheng Wang et al.
-
Summary of Temporal Streaming Batch Principal Component Analysis For Time Series Classification, by Enshuo Yan et al.
-
Summary of Strada-llm: Graph Llm For Traffic Prediction, by Seyed Mohamad Moghadas et al.
-
Summary of On Probabilistic Pullback Metrics on Latent Hyperbolic Manifolds, by Luis Augenstein et al.
-
Summary of Codes: Benchmarking Coupled Ode Surrogates, by Robin Janssen et al.
-
Summary of Generative Example-based Explanations: Bridging the Gap Between Generative Modeling and Explainability, by Philipp Vaeth et al.
-
Summary of Active Causal Structure Learning with Latent Variables: Towards Learning to Detour in Autonomous Robots, by Pablo De Los Riscos and Fernando Corbacho
-
Summary of Deep Recurrent Stochastic Configuration Networks For Modelling Nonlinear Dynamic Systems, by Gang Dang and Dianhui Wang
-
Summary of Lora Done Rite: Robust Invariant Transformation Equilibration For Lora Optimization, by Jui-nan Yen et al.
-
Summary of Near Optimal Pure Exploration in Logistic Bandits, by Eduardo Ochoa Rivera et al.
-
Summary of Injectivity Capacity Of Relu Gates, by Mihailo Stojnic
-
Summary of General Causal Imputation Via Synthetic Interventions, by Marco Jiralerspong et al.
-
Summary of Learning Variational Inequalities From Data: Fast Generalization Rates Under Strong Monotonicity, by Eric Zhao et al.
-
Summary of Video to Video Generative Adversarial Network For Few-shot Learning Based on Policy Gradient, by Yintai Ma et al.
-
Summary of Neuzip: Memory-efficient Training and Inference with Dynamic Compression Of Neural Networks, by Yongchang Hao et al.
-
Summary of A Statistical Analysis Of Deep Federated Learning For Intrinsically Low-dimensional Data, by Saptarshi Chakraborty and Peter L. Bartlett
-
Summary of Turbohopp: Accelerated Molecule Scaffold Hopping with Consistency Models, by Kiwoong Yoo et al.
-
Summary of Segmenting Watermarked Texts From Language Models, by Xingchi Li et al.
-
Summary of Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise Lora, by Sangmin Bae et al.
-
Summary of Reprogramming Pretrained Target-specific Diffusion Models For Dual-target Drug Design, by Xiangxin Zhou et al.
-
Summary of Contextual Representation Anchor Network to Alleviate Selection Bias in Few-shot Drug Discovery, by Ruifeng Li et al.
-
Summary of Simple Is Effective: the Roles Of Graphs and Large Language Models in Knowledge-graph-based Retrieval-augmented Generation, by Mufei Li et al.
-
Summary of Shopping Mmlu: a Massive Multi-task Online Shopping Benchmark For Large Language Models, by Yilun Jin et al.
-
Summary of Matryoshka: Learning to Drive Black-box Llms with Llms, by Changhao Li et al.
-
Summary of Likelihood Approximations Via Gaussian Approximate Inference, by Thang D. Bui