Papers
12094 papers
ICLR2024
NECO: NEural Collapse Based Out-of-distribution detection
Summary pending...
anomaly detectionOOD
ICLR2024
VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE
Summary pending...
Unsupervised learning; Video object learning
ICLR2024
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
Summary pending...
Large Language Model CompressionDifferentiable Quantization
ICLR2024
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
Summary pending...
Large Language Model (LLM)Multi-task learningMulti-modal learning
ICLR2024
Balancing Act: Constraining Disparate Impact in Sparse Models
Summary pending...
deep learningsparsitydisparate impact
ICLR2024
ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Summary pending...
Autonomous Driving3D Domain TransferZero-shot 3D Detection
ICLR2024
HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
Summary pending...
Text-to-3DGenerative modelsDiffusion models
ICLR2024
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
Summary pending...
Auxiliary Learning; Neural Architecture Search; Soft Parameter Sharing; Multi-Task Learning; Single Task Inference Cost
ICLR2024
INViTE: INterpret and Control Vision-Language Models with Text Explanations
Summary pending...
Interpretation; Transformer
ICLR2024
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Summary pending...
Model-based Reinforcement Learning; Reward Shaping; Reward Smoothing
ICLR2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
Summary pending...
out-of-distribution detectionlearnability
ICLR2024
Set Learning for Accurate and Calibrated Models
Summary pending...
set learningcalibrationoverconfidence
ICLR2024
Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
Summary pending...
moleculespherical harmonicsequivariant
ICLR2024
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Summary pending...
Graph Neural NetworksUncertainity QuantificationCalibration
ICLR2024
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Summary pending...
representation learningdeep reinforcement learning
ICLR2024
On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
Summary pending...
Language modelsDistillationRLHF
ICLR2024
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation
Summary pending...
Machine unlearninggenerative modeldiffusion model
ICLR2024
Pooling Image Datasets with Multiple Covariate Shift and Imbalance
Summary pending...
image harmonizationmedical imaging
ICLR2024
Ferret: Refer and Ground Anything Anywhere at Any Granularity
Summary pending...
FerretMultimodal Large Language ModelReferring
ICLR2024
Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape
Summary pending...
3D generationshape analysis and synthesisdiffusion models