Papers
Sun 22 Oct 2023
127 papers
- Reputation-Based Federated Learning Defense to Mitigate Threats in EEG Signal ClassificationLLM safety and security → Federated unlearning and poisoning
- CXR-LLAVA: a multimodal large language model for interpreting chest X-ray imagesMultimodal LLMs / vision-language models → Medical vision-language models
- Diffusion-Model-Assisted Supervised Learning of Generative Models for Density EstimationDiffusion models → Diffusion foundations and sampling
- Retrieval-Augmented Chain-of-Thought in Semi-structured DomainsLLM reasoning → Reasoning for agents, planning and code +1
- Monte Carlo Thought Search: Large Language Model Querying for Complex Scientific Reasoning in Catalyst DesignLLM reasoning → Clinical and biomedical applications
- Vision Language Models in Autonomous Driving: A Survey and OutlookMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Learning Generalizable Manipulation Policies with Object-Centric 3D RepresentationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- Language Model Unalignment: Parametric Red-Teaming to Expose Hidden Harms and BiasesLLM safety and security → Prompt injection and agent security
- Robust Visual Imitation Learning with Inverse Dynamics RepresentationsOffline RL and imitation learning from data → Imitation learning methods
- Detrive: Imitation Learning with Transformer Detection for End-to-End Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- Diffusion-based Data Augmentation for Nuclei Image SegmentationDiffusion models → Medical imaging and segmentation
- Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- Improved Techniques for Training Consistency ModelsDiffusion models → Diffusion foundations and sampling
- A General Theory for Softmax Gating Multinomial Logistic Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
- Automated Localization of Blood Vessels in Retinal Images
- Imperceptible CMOS camera dazzle for adversarial attacks on deep neural networks
- JOSA: Joint surface-based registration and atlas construction of brain geometry and function
- Preference Elicitation with Soft Attributes in Interactive Recommendation
- ITEm: Unsupervised Image-Text Embedding Learning for eCommerce
- MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language
- Data-Free Distillation Improves Efficiency and Privacy in Federated Thorax Disease Analysis
- A Survey on Semantic Processing Techniques
- Chainpoll: A high efficacy method for LLM hallucination detection
- PHD: Pixel-Based Language Modeling of Historical Documents
- MIRACLE: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control
- UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
- Can strong structural encoding reduce the importance of Message Passing?
- Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
- Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
- A generalized likelihood-weighted optimal sampling algorithm for rare-event probability quantification
- Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning
- An International Consortium for Evaluations of Societal-Scale Risks from Advanced AI
- Skipped Feature Pyramid Network with Grid Anchor for Object Detection
- Domain Terminology Integration into Machine Translation: Leveraging Large Language Models
- TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
- URegM: a unified prediction model of resource consumption for refactoring software smells in open source cloud
- EDGE++: Improved Training and Sampling of EDGE
- Mobile AR Depth Estimation: Challenges & Prospects -- Extended Version
- Fairness-aware Optimal Graph Filter Design
- Clustering Students Based on Gamification User Types and Learning Styles
- Text generation for dataset augmentation in security classification tasks
- Which Prompts Make The Difference? Data Prioritization For Efficient Human LLM Evaluation
- A Quadratic Synchronization Rule for Distributed Deep Learning
- Large Language Models are biased to overestimate profoundness
- REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization
- ConViViT -- A Deep Neural Network Combining Convolutions and Factorized Self-Attention for Human Activity Recognition
- Data Augmentation: a Combined Inductive-Deductive Approach featuring Answer Set Programming
- Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions
- O3D: Offline Data-driven Discovery and Distillation for Sequential Decision-Making with Large Language Models
- Value of Assistance for Grasping
- A Pytorch Reproduction of Masked Generative Image Transformer
- Learning to bag with a simulation-free reinforcement learning framework for robots
- Universal representation by Boltzmann machines with Regularised Axons
- Merging Generated and Retrieved Knowledge for Open-Domain QA
- Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
- Evaluating Subjective Cognitive Appraisals of Emotions from Large Language Models
- ARCOQ: Arabic Closest Opposite Questions Dataset
- OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
- MoPe: Model Perturbation-based Privacy Attacks on Language Models
- Bi-Encoders based Species Normalization -- Pairwise Sentence Learning to Rank
- A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video
- Is ChatGPT a game changer for geocoding -- a benchmark for geocoding address parsing techniques
- Right, No Matter Why: AI Fact-checking and AI Authority in Health-related Inquiry Settings
- Semantic and Expressive Variation in Image Captions Across Languages
- A global product of fine-scale urban building height based on spaceborne lidar
- Toward Flare-Free Images: A Survey
- DePAint: A Decentralized Safe Multi-Agent Reinforcement Learning Algorithm considering Peak and Average Constraints
- The Law and NLP: Bridging Disciplinary Disconnects
- What's in a Prior? Learned Proximal Networks for Inverse Problems
- Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting
- Social Commonsense-Guided Search Query Generation for Open-Domain Knowledge-Powered Conversations
- From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
- PPFL: A Personalized Federated Learning Framework for Heterogeneous Population
- Learning Interpretable Rules for Scalable Data Representation and Classification
- DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias
- CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text
- Towards Harmful Erotic Content Detection through Coreference-Driven Contextual Analysis
- 4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees
- Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
- Research on Key Technologies of Infrastructure Digitalization based on Multimodal Spatial Data
- Deep MDP: A Modular Framework for Multi-Object Tracking
- Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability
- NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval
- Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation
- A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application
- CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
- Boosting Unsupervised Machine Translation with Pseudo-Parallel Data
- RSM-NLP at BLP-2023 Task 2: Bangla Sentiment Analysis using Weighted and Majority Voted Fine-Tuned Transformers
- From Static to Dynamic: A Continual Learning Framework for Large Language Models
- Shortcuts for causal discovery of nonlinear models by score matching
- Guidance system for Visually Impaired Persons using Deep Learning and Optical flow
- High-Quality 3D Face Reconstruction with Affine Convolutional Networks
- A comprehensive survey on deep active learning in medical image analysis
- Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
- Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
- Multi-stream Cell Segmentation with Low-level Cues for Multi-modality Images
- Customising General Large Language Models for Specialised Emotion Recognition Tasks
- One-for-All: Towards Universal Domain Translation with a Single StyleGAN
- The Importance of Anti-Aliasing in Tiny Object Detection
- UniMAP: Universal SMILES-Graph Representation Learning
All 127
- Item-Graph2vec: a Efficient and Effective Approach using Item Co-occurrence Graph Embedding for Collaborative Filtering
- TransY-Net:Learning Fully Transformer Networks for Change Detection of Remote Sensing Images
- LUNA: A Model-Based Universal Analysis Framework for Large Language Models
- SUT: Active Defects Probing for Transcompiler Models
- Manifold-Preserving Transformers are Effective for Short-Long Range Encoding
- Prompt Engineering Through the Lens of Optimal Control
- QA-NatVer: Question Answering for Natural Logic-based Fact Verification
- Distractor-aware Event-based Tracking
- PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
- Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis
- Prompt-based Grouping Transformer for Nucleus Detection and Classification
- An In-Context Schema Understanding Method for Knowledge Base Question Answering
- ASC: Appearance and Structure Consistency for Unsupervised Domain Adaptation in Fetal Brain MRI Segmentation
- Learning Invariant Molecular Representation in Latent Discrete Space
- Randomized Forward Mode of Automatic Differentiation For Optimization Algorithms
- Ensemble Learning for Graph Neural Networks
- Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition
- α-Fair Contextual Bandits
- Augmenting End-to-End Steering Angle Prediction with CAN Bus Data
- Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation
- Can Language Models Laugh at YouTube Short-form Videos?
- Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction
- Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection
- Orthogonal Subspace Learning for Language Model Continual Learning
- PromptCBLUE: A Chinese Prompt Tuning Benchmark for the Medical Domain
- MMTF-DES: A Fusion of Multimodal Transformer Models for Desire, Emotion, and Sentiment Analysis of Social Media Data
- Are LSTMs Good Few-Shot Learners?