Papers
Tue 10 Oct 2023
288 papers
- Investigating the Adversarial Robustness of Density Estimation Using the Probability Flow ODEDiffusion models → Robustness, privacy and adversarial aspects
- Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained DecodingLLM agents and tool use → Tool learning and function calling
- Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real ImagesMultimodal LLMs / vision-language models → Medical vision-language models
- NEWTON: Are Large Language Models Capable of Physical Reasoning?LLM reasoning → Spatial and embodied reasoning
- Catastrophic Jailbreak of Open-source LLMs via Exploiting GenerationLLM safety and security → Jailbreaking
- ObjectComposer: Consistent Generation of Multiple Objects Without Fine-tuningDiffusion models → Image generation, text-to-image and editing
- Sanitizing Hidden Information with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Diffusion Prior Regularized Iterative Reconstruction for Low-dose CTDiffusion models → Medical imaging and segmentation
- LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat TestingLLM agents and tool use → Agent threats, guardrails and governance
- Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion ModelsDiffusion models → Inverse problems and image restoration
- Sparse Fine-tuning for Inference Acceleration of Large Language ModelsEfficient LLM inference and serving → Early exit and edge inference
- LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt CompressionEfficient LLM inference and serving → Prompt and context compression
- A General Protocol to Probe Large Vision Models for 3D Physical UnderstandingDiffusion models → 3D, point cloud and scene generation
- Lemur: Harmonizing Natural Language and Code for Language AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Advancing Transformer's Capabilities in Commonsense ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- OpenWebMath: An Open Dataset of High-Quality Mathematical Web TextLLM reasoning → Mathematical reasoning
- TRACE: A Comprehensive Benchmark for Continual Learning in Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- HiFi-123: Towards High-fidelity One Image to 3D Content GenerationDiffusion models → 3D, point cloud and scene generation
- Zero-Shot Transfer in Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Generalizable Chain-of-Thought Prompting in Mixed-task Scenarios with Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- Latent Diffusion Counterfactual ExplanationsDiffusion models → Diffusion foundations and sampling
- Tertiary Lymphoid Structures Generation through Graph-based DiffusionDiffusion models → Medical imaging and segmentation
- Diversity from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- How (not) to ensemble LVLMs for VQAMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language ModelsLLM reasoning → Causal reasoning in LLMs +1
- MetaAgents: Large Language Model Based Agents for Decision-Making on TeamingLLM agents and tool use → Social simulation and multi-agent debate
- Multilingual Jailbreak Challenges in Large Language ModelsLLM safety and security → Jailbreaking
- Understanding the Effects of RLHF on LLM Generalisation and DiversityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Constructive Large Language Models Alignment with Diverse FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Supercharging Graph Transformers with Advective DiffusionDiffusion models → Flow matching, time series and science
- Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion ModelingDiffusion models → Diffusion foundations and sampling
- Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence ModelsLLM reasoning → Test-time compute and efficient thinking
- Leveraging Diffusion-Based Image Variations for Robust Training on Poisoned DataDiffusion models → Robustness, privacy and adversarial aspects +1
- A Semantic Invariant Robust Watermark for Large Language ModelsLLM safety and security → Watermarking generated content and models
- JointNet: Extending Text-to-Image Diffusion for Dense Distribution ModelingDiffusion models → 3D, point cloud and scene generation
- Boosting Continuous Control with Consistency PolicyDiffusion models → Diffusion and flow policies for robotics +1
- Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Improving Compositional Text-to-image Generation with Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Dynamical versus Bayesian Phase Transitions in a Toy Model of SuperpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- Let Models Speak Ciphers: Multiagent Debate through EmbeddingsLLM reasoning → Reasoning for agents, planning and code
- Bi-Level Offline Policy Optimization with Limited ExplorationOffline RL and imitation learning from data → Offline RL algorithms
- CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual GroundingLLM reasoning → Spatial and embodied reasoning
- Relative intrinsic dimensionality is intrinsic to learning
- Can AI Mitigate Human Perceptual Biases? A Pilot Study
- Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation
- RK-core: An Established Methodology for Exploring the Hierarchical Structure within Datasets
- LLMs as Potential Brainstorming Partners for Math and Science Problems
- Creation Of A ChatBot Based On Natural Language Proccesing For Whatsapp
- Spiral-Elliptical automated galaxy morphology classification from telescope images
- Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize
- Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting
- Secure Decentralized Learning with Blockchain
- Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose
- Large Language Models can Learn Rules
- Acoustic Model Fusion for End-to-end Speech Recognition
- BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision
- DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction
- TextPSG: Panoptic Scene Graph Generation from Textual Descriptions
- FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
- A predict-and-optimize approach to profit-driven churn prevention
- Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images
- Neural Harmonium: An Interpretable Deep Structure for Nonlinear Dynamic System Identification with Application to Audio Processing
- Facial Forgery-based Deepfake Detection using Fine-Grained Features
- Automatic Macro Mining from Interaction Traces at Scale
- Pre-Trained Masked Image Model for Mobile Robot Navigation
- Neural Relational Inference with Fast Modular Meta-learning
- Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs
- Sound-skwatter (Did You Mean: Sound-squatter?) AI-powered Generator for Phishing Prevention
- CarDS-Plus ECG Platform: Development and Feasibility Evaluation of a Multiplatform Artificial Intelligence Toolkit for Portable and Wearable Device Electrocardiograms
- Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models
- Leveraging Neural Radiance Fields for Uncertainty-Aware Visual Localization
- Violation of Expectation via Metacognitive Prompting Reduces Theory of Mind Prediction Error in Large Language Models
- Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
- Why bother with geometry? On the relevance of linear decompositions of Transformer embeddings
- Federated Quantum Machine Learning with Differential Privacy
- Flood and Echo Net: Algorithmically Aligned GNNs that Generalize
- Positivity-free Policy Learning with Observational Data
- On the Interpretability of Part-Prototype Based Classifiers: A Human Centric Analysis
- Jaynes Machine: The universal microstructure of deep neural networks
- Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
- A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems
- End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition
- Document-Level Supervision for Multi-Aspect Sentiment Analysis Without Fine-grained Labels
- Quantum Shadow Gradient Descent for Variational Quantum Algorithms
- Prosody Analysis of Audiobooks
- PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification
- Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
- Distributed Transfer Learning with 4th Gen Intel Xeon Processors
- A Comparative Study of Transformer-based Neural Text Representation Techniques on Bug Triaging
- Self-supervised Object-Centric Learning for Videos
- Distillation Improves Visual Place Recognition for Low Quality Images
- Mitigating stereotypical biases in text to image generative systems
- Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
- The Solution for the CVPR2023 NICE Image Captioning Challenge
- AutoAD II: The Sequel -- Who, When, and What in Movie Audio Description
- Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency
- Scalable Semantic Non-Markovian Simulation Proxy for Reinforcement Learning
- Teaching Language Models to Hallucinate Less with Synthetic Tasks
All 288
- Mistral 7B
- The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets
- NECO: NEural Collapse Based Out-of-distribution detection
- Neural Bounding
- Text Embeddings Reveal (Almost) As Much As Text
- Test & Evaluation Best Practices for Machine Learning-Enabled Systems
- f-Policy Gradients: A General Framework for Goal Conditioned RL using f-Divergences
- Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
- Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches
- A Supervised Embedding and Clustering Anomaly Detection method for classification of Mobile Network Faults
- Information Content Exploration
- Uni3D: Exploring Unified 3D Representation at Scale
- Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
- OmniLingo: Listening- and speaking-based language learning
- FABind: Fast and Accurate Protein-Ligand Binding
- Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory
- TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
- Comparing AI Algorithms for Optimizing Elliptic Curve Cryptography Parameters in e-Commerce Integrations: A Pre-Quantum Analysis
- A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
- Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks
- Multi-domain improves out-of-distribution and data-limited scenarios for medical image analysis
- Growing ecosystem of deep learning methods for modeling proteinunicodex2013protein interactions
- Improving Pseudo-Time Stepping Convergence for CFD Simulations With Neural Networks
- S4Sleep: Elucidating the design space of deep-learning-based sleep stage classification models
- Exploring Memorization in Fine-tuned Language Models
- Interpretable Traffic Event Analysis with Bayesian Networks
- Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
- DeepLSH: Deep Locality-Sensitive Hash Learning for Fast and Efficient Near-Duplicate Crash Report Detection
- Temporally Aligning Long Audio Interviews with Questions: A Case Study in Multimodal Data Integration
- Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
- Generalized Wick Decompositions
- Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
- On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions
- Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach
- Machine Learning Quantum Systems with Magnetic p-bits
- SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
- Making Large Language Models Perform Better in Knowledge Graph Completion
- Domain Generalization by Rejecting Extreme Augmentations
- SC2GAN: Rethinking Entanglement by Self-correcting Correlated GAN Space
- Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization
- Assessing the Impact of a Supervised Classification Filter on Flow-based Hybrid Network Anomaly Detection
- Evaluating Explanation Methods for Vision-and-Language Navigation
- Self-Supervised Representation Learning for Online Handwriting Text Classification
- HYVE: Hybrid Vertex Encoder for Neural Distance Fields
- Implicit Variational Inference for High-Dimensional Posteriors
- The Lattice Overparametrization Paradigm for the Machine Learning of Lattice Operators
- Blind Dates: Examining the Expression of Temporality in Historical Photographs
- EViT: An Eagle Vision Transformer with Bi-Fovea Self-Attention
- Deep Cardiac MRI Reconstruction with ADMM
- Topic-DPR: Topic-based Prompts for Dense Passage Retrieval
- iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
- BridgeHand2Vec Bridge Hand Representation
- Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts
- Discovering Interpretable Physical Models using Symbolic Regression and Discrete Exterior Calculus
- V2X-AHD:Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network
- Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels
- On the Evaluation and Refinement of Vision-Language Instruction Tuning Datasets
- No Pitch Left Behind: Addressing Gender Unbalance in Automatic Speech Recognition through Pitch Manipulation
- FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
- A Black-Box Physics-Informed Estimator based on Gaussian Process Regression for Robot Inverse Dynamics Identification
- Hierarchical Mask2Former: Panoptic Segmentation of Crops, Weeds and Leaves
- Energy-Efficient Visual Search by Eye Movement and Low-Latency Spiking Neural Network
- SketchBodyNet: A Sketch-Driven Multi-faceted Decoder Network for 3D Human Reconstruction
- XAI for Early Crop Classification
- Deep Learning reconstruction with uncertainty estimation for γ photon interaction in fast scintillator detectors
- Statistical properties and privacy guarantees of an original distance-based fully synthetic data generation method
- Hoeffding decomposition of black-box models with dependent inputs
- Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial and Healthcare datasets
- Compositional Representation Learning for Brain Tumour Segmentation
- Data efficient deep learning for medical image analysis: A survey
- It's About Time: Temporal References in Emergent Communication
- Automated clinical coding using off-the-shelf large language models
- Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
- Rationale-Enhanced Language Models are Better Continual Relation Learners
- AutoCycle-VC: Towards Bottleneck-Independent Zero-Shot Cross-Lingual Voice Conversion
- An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems
- Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach
- A Novel Contrastive Learning Method for Clickbait Detection on RoCliCo: A Romanian Clickbait Corpus of News Articles
- Data-level hybrid strategy selection for disk fault prediction model based on multivariate GAN
- EmoTwiCS: A Corpus for Modelling Emotion Trajectories in Dutch Customer Service Dialogues on Twitter
- Disk failure prediction based on multi-layer domain adaptive learning
- Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features
- Watt For What: Rethinking Deep Learning's Energy-Performance Relationship
- Toward Semantic Publishing in Non-Invasive Brain Stimulation: A Comprehensive Analysis of rTMS Studies
- AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments
- Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
- Self-Supervised Dataset Distillation for Transfer Learning
- Topological data analysis of human vowels: Persistent homologies across representation spaces
- Runway Sign Classifier: A DAL C Certifiable Machine Learning System
- Evaluation of ChatGPT Feedback on ELL Writers' Coherence and Cohesion
- Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task
- The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis
- A New Benchmark and Reverse Validation Method for Passage-level Hallucination Detection
- Deep Learning for Automatic Detection and Facial Recognition in Japanese Macaques: Illuminating Social Networks
- SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
- Topological RANSAC for instance verification and retrieval without fine-tuning
- Memory efficient location recommendation through proximity-aware representation
- Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory
- An improved CTGAN for data processing method of imbalanced disk failure
- Focus on Local Regions for Query-based Object Detection
- A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks
- Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features
- Asynchronous Federated Learning with Incentive Mechanism Based on Contract Theory
- Rule Mining for Correcting Classification Models
- Stepwise functional refoundation of relational concept analysis
- Solution for SMART-101 Challenge of ICCV Multi-modal Algorithmic Reasoning Task 2023
- Skeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
- MemSum-DQA: Adapting An Efficient Long Document Extractive Summarizer for Document Question Answering
- Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition
- Retromorphic Testing: A New Approach to the Test Oracle Problem
- Conformal Prediction for Deep Classifier via Label Ranking
- Proceedings of The first international workshop on eXplainable AI for the Arts (XAIxArts)
- TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems
- Large Language Models for Propaganda Detection
- AnoDODE: Anomaly Detection with Diffusion ODE
- Deep reinforcement learning uncovers processes for separating azeotropic mixtures without prior knowledge
- Humans and language models diverge when predicting repeating text
- Hexa: Self-Improving for Knowledge-Grounded Dialogue System
- Boundary Discretization and Reliable Classification Network for Temporal Action Detection
- Lo-Hi: Practical ML Drug Discovery Benchmark
- Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach
- Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring
- Improved prompting and process for writing user personas with LLMs, using qualitative interviews: Capturing behaviour and personality traits of users
- P5: Plug-and-Play Persona Prompting for Personalized Response Selection
- 3DS-SLAM: A 3D Object Detection based Semantic SLAM towards Dynamic Indoor Environments
- What Makes for Robust Multi-Modal Models in the Face of Missing Modalities?
- CAST: Cluster-Aware Self-Training for Tabular Data via Reliable Confidence
- Understanding the Expressivity and Trainability of Fourier Neural Operator: A Mean-Field Perspective
- Partition-based differentially private synthetic data generation
- Advanced Efficient Strategy for Detection of Dark Objects Based on Spiking Network with Multi-Box Detection
- Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
- CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation
- DrugCLIP: Contrastive Protein-Molecule Representation Learning for Virtual Screening
- Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
- Noisy-ArcMix: Additive Noisy Angular Margin Loss Combined With Mixup Anomalous Sound Detection
- InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
- Core-Intermediate-Peripheral Index: Factor Analysis of Neighborhood and Shortest Paths-based Centrality Metrics
- Fire Detection From Image and Video Using YOLOv5
- Filter Pruning For CNN With Enhanced Linear Representation Redundancy
- Contrastive Prompt Learning-based Code Search based on Interaction Matrix
- Federated Learning with Reduced Information Leakage and Computation
- Automatic nodule identification and differentiation in ultrasound videos to facilitate per-nodule examination
- Local Style Awareness of Font Images
- Learning bounded-degree polytrees with known skeleton
- CrowdRec: 3D Crowd Reconstruction from Single Color Images
- Precise Payload Delivery via Unmanned Aerial Vehicles: An Approach Using Object Detection Algorithms
- ARC-Fi: Exploiting Antenna Spatial Diversity for Label-Efficient Domain Generalization in Wi-Fi Sensing
- I2SRM: Intra- and Inter-Sample Relationship Modeling for Multimodal Information Extraction
- Predicting Three Types of Freezing of Gait Events Using Deep Learning Models
- Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controls
- Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox
- Discovering Mixtures of Structural Causal Models from Time Series Data
- Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing
- Dobby: A Conversational Service Robot Driven by GPT-4
- Selective Demonstrations for Cross-domain Text-to-SQL
- Three-Dimensional Medical Image Fusion with Deformable Cross-Attention
- Gem5Pred: Predictive Approaches For Gem5 Simulation Time
- Better and Simpler Lower Bounds for Differentially Private Statistical Estimation
- Suppressing Overestimation in Q-Learning through Adversarial Behaviors
- Towards More Efficient Depression Risk Recognition via Gait
- MuseChat: A Conversational Music Recommendation System for Videos
- BC4LLM: Trusted Artificial Intelligence When Blockchain Meets Large Language Models
- High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field
- Towards Mitigating Hallucination in Large Language Models via Self-Reflection
- The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
- CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model
- Self-Discriminative Modeling for Anomalous Graph Detection
- An experiment on an automated literature survey of data-driven speech enhancement methods
- Get the gist? Using large language models for few-shot decontextualization
- A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning
- Deep Learning: A Tutorial
- We are what we repeatedly do: Inducing and deploying habitual schemas in persona-based responses
- Sample-Efficient Multi-Agent RL: An Optimization Perspective
- A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data
- Model Tuning or Prompt Tuning? A Study of Large Language Models for Clinical Concept and Relation Extraction
- Tackling Data Bias in MUSIC-AVQA: Crafting a Balanced Dataset for Unbiased Question-Answering
- Differentially Private Multi-Site Treatment Effect Estimation
- Efficient Adaptation of Large Vision Transformer via Adapter Re-Composing
- Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
- Spiking PointNet: Spiking Neural Networks for Point Clouds
- Evolution of Natural Language Processing Technology: Not Just Language Processing Towards General Purpose AI
- Exploring adversarial attacks in federated learning for medical imaging
- GPT-4 as an Agronomist Assistant? Answering Agriculture Exams Using Large Language Models
- Detecting and Learning Out-of-Distribution Data in the Open world: Algorithm and Theory
- SUBP: Soft Uniform Block Pruning for 1xN Sparse CNNs Multithreading Acceleration
- Federated Multi-Level Optimization over Decentralized Networks
- GeoLLM: Extracting Geospatial Knowledge from Large Language Models