Papers
12094 papers
ICLR2024
The Expressive Power of Low-Rank Adaptation
Summary pending...
LoRAexpressive powerparameter-efficient fine-tuning
ICLR2024
Demystifying Embedding Spaces using Large Language Models
Summary pending...
large language modelsinterpretability methodsrepresentation
ICLR2024
BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models
Summary pending...
language modelsquestion answeringbinary representations
ICLR2024
Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
Summary pending...
extragradientminimaxnonconvex-nonconcave
ICLR2024
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
Summary pending...
Diffusion ModelsModel QuantizationModel Compression
ICLR2024
Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks
Summary pending...
implicit neural representationsfield reconstructionsparse observation
ICLR2024
ASID: Active Exploration for System Identification in Robotic Manipulation
Summary pending...
sim2realsystem identificationexploration
ICLR2024
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
Summary pending...
3D Lane DetectionMulti-modal
ICLR2024
Where We Have Arrived in Proving the Emergence of Sparse Interaction Primitives in DNNs
Summary pending...
Explainable AINeural networksSymbolism
ICLR2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Summary pending...
Graph TransformersPolynomial NetworksLarge-Scale Graph Learning
ICLR2024
SetCSE: Set Operations using Contrastive Learning of Sentence Embeddings
Summary pending...
Representation LearningNatural Language ProcessingContrastive Learning
ICLR2024
Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate
Summary pending...
Personalized Federated LearningHeterogeneous DataFeature Distribution Shift
ICLR2024
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process
Summary pending...
denoising diffusion modelsmulti-granularitytime series forecasting
ICLR2024
A Unified and General Framework for Continual Learning
Summary pending...
Continual Learning
ICLR2024
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
Summary pending...
large language modelsdatasetconversation
ICLR2024
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Summary pending...
Reinforcement LearningDistributed SystemsLarge Scale Training
ICLR2024
P$^2$OT: Progressive Partial Optimal Transport for Deep Imbalanced Clustering
Summary pending...
deep imbalanced clusteringoptimal transport
ICLR2024
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
Summary pending...
Graph-level anomaly detectionSpectral GNNRayleigh Quotient
ICLR2024
Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Summary pending...
Molecule Representation; Pretraining; Denoising; Force Field
ICLR2024
Efficiently Computing Similarities to Private Datasets
Summary pending...
differential privacydistance estimationsublinear algorithms