Papers
Thu 18 Apr 2024
270 papers
- GenVideo: One-shot Target-image and Shape Aware Video Editing using T2I Diffusion ModelsDiffusion models → Video generation
- Enabling Stateful Behaviors for Diffusion-based Policy LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning AgentsOffline RL and imitation learning from data → Offline RL algorithms
- Global Counterfactual DirectionsDiffusion models → Diffusion foundations and sampling
- RAGCache: Efficient Knowledge Caching for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- BLINK: Multimodal Large Language Models Can See but Not PerceiveMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- G-HOP: Generative Hand-Object Prior for Interaction Reconstruction and Grasp SynthesisDiffusion models → Diffusion and flow policies for robotics
- Lazy Diffusion Transformer for Interactive Image EditingDiffusion models → Image generation, text-to-image and editing
- RoboDreamer: Learning Compositional World Models for Robot ImaginationWorld models → Embodied and robot world models
- MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making RationaleLLM reasoning → Clinical and biomedical applications
- Learning the Domain Specific Inverse NUFFT for Accelerated Spiral MRI using Diffusion ModelsDiffusion models → Medical imaging and segmentation
- From r to Q^*: Your Language Model is Secretly a Q-FunctionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Customizing Text-to-Image Diffusion with Object Viewpoint ControlDiffusion models → 3D, point cloud and scene generation
- Reuse Your Rewards: Reward Model Transfer for Zero-Shot Cross-Lingual AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Guided Discrete Diffusion for Electronic Health Record GenerationDiffusion models → Medical imaging and segmentation
- iRAG: Advancing RAG for Videos with an Incremental ApproachRetrieval-augmented generation → Multimodal RAG
- ASID: Active Exploration for System Identification in Robotic ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- RISE: 3D Perception Makes Real-World Robot Imitation Simple and EffectiveOffline RL and imitation learning from data → Robot manipulation imitation learning
- Advancing the Robustness of Large Language Models through Self-Denoised SmoothingLLM safety and security → Jailbreaking
- Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human PreferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- An Online Spatial-Temporal Graph Trajectory Planner for Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Toward Self-Improvement of LLMs via Imagination, Searching, and CriticizingLLM reasoning → Test-time compute and efficient thinking +1
- OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction DataLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Aligning language models with human preferencesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?LLM agents and tool use → Social simulation and multi-agent debate
- mABC: multi-Agent Blockchain-Inspired Collaboration for root cause analysis in micro-services architectureLLM agents and tool use → Agent threats, guardrails and governance
- Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Uncovering Safety Risks of Large Language Models through Concept Activation VectorLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Data-free Knowledge Distillation for Fine-grained Visual CategorizationKnowledge distillation → General knowledge distillation methods
- Parallel Decoding via Hidden Transfer for Lossless Large Language Model AccelerationEfficient LLM inference and serving → Speculative decoding
- Token-level Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- EVIT: Event-Oriented Instruction Tuning for Event ReasoningLLM reasoning → Causal reasoning in LLMs
- Aligning Language Models to Explicitly Handle AmbiguityLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- From Language Models to Practical Self-Improving Computer AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Not All Voxels Are Equal: Hardness-Aware Semantic Scene Completion with Self-DistillationKnowledge distillation → Detection and dense prediction distillation
- Sketch-guided Image Inpainting with Partial Discrete Diffusion ProcessDiffusion models → 3D, point cloud and scene generation
- AgentCoord: Visually Exploring Coordination Strategy for LLM-based Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- LD-Pruner: Efficient Pruning of Latent Diffusion Models using Task-Agnostic InsightsDiffusion models → Diffusion foundations and sampling
- EdgeFusion: On-Device Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling
- TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- From Image to Video, what do we need in multimodal LLMs?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Progressive Multi-modal Conditional Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Actor-Critic Reinforcement Learning with Phased ActorDeep reinforcement learning methods → RL theory and sample complexity
- Thought of Search: Planning with Language Models Through The Lens of EfficiencyLLM reasoning → Reasoning for agents, planning and code
- Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible TasksDeep reinforcement learning methods → RL for games and combinatorial optimization
- Enhancing Educational Efficiency: Generative AI Chatbots and DevOps in Education 4.0
- ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer
- Is artificial consciousness achievable? Lessons from the human brain
- Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
- Annotation-guided Protein Design with Multi-Level Domain Alignment
- Transparent AI: Developing an Explainable Interface for Predicting Postoperative Complications
- MP-DPD: Low-Complexity Mixed-Precision Neural Networks for Energy-Efficient Digital Predistortion of Wideband Power Amplifiers
- Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech
- Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models
- Evaluating Alternatives to SFM Point Cloud Initialization for Gaussian Splatting
- Latent Concept-based Explanation of NLP Models
- Beyond development: Challenges in deploying machine learning models for structural engineering applications
- TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
- Is There No Such Thing as a Bad Question? H4R: HalluciBot For Ratiocination, Rewriting, Ranking, and Routing
- Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
- Adaptive Memory Replay for Continual Learning
- DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects
- Neural Active Learning Beyond Bandits
- Centralized vs. Decentralized Multi-Agent Reinforcement Learning for Enhanced Control of Electric Vehicle Charging Networks
- Proteus: Preserving Model Confidentiality during Graph Optimizations
- Generalizing Machine Learning Evaluation through the Integration of Shannon Entropy and Rough Set Theory
- Compositional Neural Textures
- SPIdepth: Strengthened Pose Information for Self-supervised Monocular Depth Estimation
- UIClip: A Data-driven Model for Assessing User Interface Design
- A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
- BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
- EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction
- GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
- Grammatical Error Correction for Code-Switched Sentences by Learners of English
- Advancing Applications of Satellite Photogrammetry: Novel Approaches for Built-up Area Modeling and Natural Environment Monitoring using Stereo/Multi-view Satellite Image-derived 3D Data
- Follow-Me AI: Energy-Efficient User Interaction with Smart Environments
- Contract Scheduling with Distributional and Multiple Advice
- Neural Methods for Amortized Inference
- Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis
- A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures
- Learning a Stable, Safe, Distributed Feedback Controller for a Heterogeneous Platoon of Autonomous Vehicles
- Towards Multi-modal Transformers in Federated Learning
- NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models
- NLP-enabled Trajectory Map-matching in Urban Road Networks using a Transformer-based Encoder-decoder
- A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative AI technologies in digital humanities research
- Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
- Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning
- AmbigDocs: Reasoning across Documents on Different Entities under the Same Name
- Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning
- mOthello: When Do Cross-Lingual Representation Alignment and Cross-Lingual Transfer Emerge in Multilingual Models?
- Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds
- The graph alignment problem: fundamental limits and efficient algorithms
- Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks
- On the Content Bias in Fr'echet Video Distance
- Moving Object Segmentation: All You Need Is SAM (and Flow)
- VideoGigaGAN: Towards Detail-rich Video Super-Resolution
All 270
- SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
- MeshLRM: Large Reconstruction Model for High-Quality Meshes
- Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes
- 6Img-to-3D: Few-Image Large-Scale Outdoor Driving Scene Reconstruction
- Matching the Statistical Query Lower Bound for k-Sparse Parity Problems with Sign Stochastic Gradient Descent
- KDk: A Defense Mechanism Against Label Inference Attacks in Vertical Federated Learning
- Gradient-Regularized Out-of-Distribution Detection
- Model-free quantification of completeness, uncertainties, and outliers in atomistic machine learning using information theory
- Accounting for AI and Users Shaping One Another: The Role of Mathematical Models
- When LLMs are Unfit Use FastFit: Fast and Effective Text Classification with Many Classes
- KV-weights are all you need for skipless transformers
- Inverse Neural Rendering for Explainable Multi-Object Tracking
- Improving the interpretability of GNN predictions through conformal-based graph sparsification
- Towards a Foundation Model for Partial Differential Equations: Multi-Operator Learning and Extrapolation
- V2Xum-LLM: Cross-Modal Video Summarization with Temporal Prompt Instruction Tuning
- Point-In-Context: Understanding Point Cloud via In-Context Learning
- Evaluating AI for Law: Bridging the Gap with Open-Source Solutions
- AniClipart: Clipart Animation with Text-to-Video Priors
- Large Language Models in Targeted Sentiment Analysis
- Measuring Feature Dependency of Neural Networks by Collapsing Feature Dimensions in the Data Manifold
- SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints
- A Perspective on Deep Vision Performance with Standard Image and Video Codecs
- Generalizable Face Landmarking Guided by Conditional Face Warping
- Synthetic Participatory Planning of Shard Automated Electric Mobility Systems
- Adjoint Sensitivities of Chaotic Flows without Adjoint Solvers: A Data-Driven Approach
- A Mean-Field Analysis of Neural Stochastic Gradient Descent-Ascent for Functional Minimax Optimization
- Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair
- When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out
- Bayesian evidence estimation from posterior samples with normalizing flows
- Singular-limit analysis of gradient descent with noise injection
- Reducing Bias in Pre-trained Models by Tuning while Penalizing Change
- Augmenting emotion features in irony detection with Large language modeling
- Debiased Distribution Compression
- Resilience through Scene Context in Visual Referring Expression Generation
- Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
- Enhancing Embedding Performance through Large Language Model-based Text Enrichment and Rewriting
- Investigating Guiding Information for Adaptive Collocation Point Sampling in PINNs
- DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
- FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom
- Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
- Alleviating Catastrophic Forgetting in Facial Expression Recognition with Emotion-Centered Models
- Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM
- DeepLocalization: Using change point detection for Temporal Action Localization
- Food Portion Estimation via 3D Object Scaling
- Deep Gaussian mixture model for unsupervised image segmentation
- Dynamic Modality and View Selection for Multimodal Emotion Recognition with Missing Modalities
- Blind Localization and Clustering of Anomalies in Textures
- CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News
- Introducing v0.5 of the AI Safety Benchmark from MLCommons
- A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations
- Neural Networks with Causal Graph Constraints: A New Approach for Treatment Effects Estimation
- De-DSI: Decentralised Differentiable Search Index
- Beyond Average: Individualized Visual Scanpath Prediction
- CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health state
- Length Generalization of Causal Transformers without Position Encoding
- A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting
- ProTA: Probabilistic Token Aggregation for Text-Video Retrieval
- Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
- An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-Training
- Partial-to-Partial Shape Matching with Geometric Consistency
- GraFIQs: Face Image Quality Assessment Using Gradient Magnitudes
- Aligning Actions and Walking to LLM-Generated Textual Descriptions
- Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
- Stability-informed Bayesian Optimization for MPC Cost Function Learning
- Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
- An Adaptive Metaheuristic Framework for Changing Environments
- Gait Recognition from Highly Compressed Videos
- EuSQuAD: Automatically Translated and Aligned SQuAD2.0 for Basque
- Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines?
- How to Benchmark Vision Foundation Models for Semantic Segmentation?
- Stance Detection on Social Media with Fine-Tuned Large Language Models
- Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
- StyleBooth: Image Style Editing with Multimodal Instruction
- FecTek: Enhancing Term Weight in Lexicon-Based Retrieval with Feature Context and Term-level Knowledge
- AccidentBlip: Agent of Accident Warning based on MA-former
- From Form(s) to Meaning: Probing the Semantic Depths of Language Models Using Multisense Consistency
- The Neutrality Fallacy: When Algorithmic Fairness Interventions are (Not) Positive Action
- MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space
- Warped Time Series Anomaly Detection
- Non-Invasive Suicide Risk Prediction Through Speech Analysis
- One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
- Personalized Forgetting Mechanism with Concept-Driven Knowledge Tracing
- Intelligence Education made in Europe
- Fortify the Guardian, Not the Treasure: Resilient Adversarial Detectors
- Ethical-Lens: Curbing Malicious Usages of Open-Source Text-to-Image Models
- S3R-Net: A Single-Stage Approach to Self-Supervised Shadow Removal
- MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models
- LongEmbed: Extending Embedding Models for Long Context Retrieval
- Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains
- X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner
- MambaPupil: Bidirectional Selective Recurrent model for Event-based Eye tracking
- MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification
- TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches
- Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams
- Towards an Approximation Theory of Observable Operator Models
- PureForest: A Large-Scale Aerial Lidar and Aerial Imagery Dataset for Tree Species Classification in Monospecific Forests
- FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries
- MIDGET: Music Conditioned 3D Dance Generation
- Unsupervised Parsing by Searching for Frequent Word Sequences among Sentences with Equivalent Predicate-Argument Structures
- Deconstructing Human-AI Collaboration: Agency, Interaction, and Adaptation
- Improving the perception of visual fiducial markers in the field using Adaptive Active Exposure Control
- emrQA-msquad: A Medical Dataset Structured with the SQuAD V2.0 Framework, Enriched with emrQA Medical Information
- RAM: Towards an Ever-Improving Memory System by Learning from Communications
- Exploring Boundaries and Intensities in Offensive and Hate Speech: Unveiling the Complex Spectrum of Social Media Discourse
- A Survey of Automatic Hallucination Evaluation on Natural Language Generation
- MLS-Track: Multilevel Semantic Interaction in RMOT
- Mapping back and forth between model predictive control and neural networks
- PID Tuning using Cross-Entropy Deep Learning: a Lyapunov Stability Analysis
- Meta-Auxiliary Learning for Micro-Expression Recognition
- Context-Aware Orchestration of Energy-Efficient Gossip Learning Schemes
- Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
- What does CLIP know about peeling a banana?
- Enhance Robustness of Language Models Against Variation Attack through Graph Integration
- Sequential Compositional Generalization in Multimodal Models
- ParaFusion: A Large-Scale LLM-Driven English Paraphrase Dataset Infused with High-Quality Lexical and Syntactic Diversity
- How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
- Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction
- Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation
- DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting
- Knowledge-Aware Multi-Intent Contrastive Learning for Multi-Behavior Recommendation
- The Emerging Generative Artificial Intelligence Divide in the United States
- MultiPhys: Multi-Person Physics-aware 3D Motion Estimation
- Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation
- MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
- Device (In)Dependence of Deep Learning-based Image Age Approximation
- A critical review of methods and challenges in large language models
- NALA: an Effective and Interpretable Entity Alignment Method
- Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
- copyright Plug-in Authorization for Human Content Copyright Protection in Text-to-Image Model
- MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
- The devil is in the object boundary: towards annotation-free instance segmentation using Foundation Models
- VCC-INFUSE: Towards Accurate and Efficient Selection of Unlabeled Examples in Semi-supervised Learning
- S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles
- Trusted Multi-view Learning under Noisy Supervision
- CrossIn: An Efficient Instruction Tuning Approach for Cross-Lingual Knowledge Alignment
- A Symmetric Regressor for MRI-Based Assessment of Striatal Dopamine Transporter Uptake in Parkinson's Disease With Enhanced Uncertainty Estimation
- Toward Short-Term Glucose Prediction Solely Based on CGM Time Series
- Redefining the Shortest Path Problem Formulation of the Linear Non-Gaussian Acyclic Model: Pairwise Likelihood Ratios, Prior Knowledge, and Path Enumeration
- Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
- Unplug and Play Language Models: Decomposing Experts in Language Models at Inference Time
- Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems
- FedMID: A Data-Free Method for Using Intermediate Outputs as a Defense Mechanism Against Poisoning Attacks in Federated Learning
- Simultaneous Detection and Interaction Reasoning for Object-Centric Action Recognition
- Enhancing Financial Inclusion and Regulatory Challenges: A Critical Analysis of Digital Banks and Alternative Lenders Through Digital Platforms, Machine Learning, and Large Language Models Integration
- AG-NeRF: Attention-guided Neural Radiance Fields for Multi-height Large-scale Outdoor Scene Rendering
- Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools
- FCNCP: A Coupled Nonnegative CANDECOMP/PARAFAC Decomposition Based on Federated Learning
- Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans
- FedEGG: Federated Learning with Explicit Global Guidance
- Seeing Motion at Nighttime with an Event Camera
- Concept Induction using LLMs: a user experiment for assessment
- Using a Local Surrogate Model to Interpret Temporal Shifts in Global Annual Data
- Group-On: Boosting One-Shot Segmentation with Supportive Query
- Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory
- An Efficient Loop and Clique Coarsening Algorithm for Graph Classification
- OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis
- SGRU: A High-Performance Structured Gated Recurrent Unit for Traffic Flow Prediction
- Partial Large Kernel CNNs for Efficient Super-Resolution
- Challenging Negative Gender Stereotypes: A Study on the Effectiveness of Automated Counter-Stereotypes
- Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
- CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models
- AdvisorQA: Towards Helpful and Harmless Advice-seeking Question Answering with Collective Intelligence
- Hypergraph Self-supervised Learning with Sampling-efficient Signals
- TextCenGen: Attention-Guided Text-Centric Background Adaptation for Text-to-Image Generation
- Utilizing Adversarial Examples for Bias Mitigation and Accuracy Enhancement
- Tailoring Generative Adversarial Networks for Smooth Airfoil Design
- Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation
- Physics-informed active learning for accelerating quantum chemical simulations
- Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
- SNP: Structured Neuron-level Pruning to Preserve Attention Scores